Case Study: Transfer Learning For Food Classification¶
Introduction¶
In this project, a deep learning model will be train to predict the type of food and then fine tune the model to improve its performance. This project could practically applied in food industry to detect the type and quality of food.
Calorie Mama AI is one of the leading players in food artificial intelligence sector and their software is able to extract nutrition-related information of the meal from the photo of the food.
Problem:
- Food classification is a challenging problem due to the large number of food categories, since the visual similarity between different food categories is high. The goal is to build a model to predict the fine-grained food-category label given an image.
Dataset:
- The dataset consist of 16643 color images belonging to 11 categories.
- Categories that are present in the data are bread, diary product, dessert, egg, fried egg, meat, noodles-pasta, rice, seafood, soup and vegetable-fruit
Source: Kaggle Competition
Libraries And Data Importation¶
In [1]:
# Import the necessary packages
import pandas as pd
import numpy as np
import tensorflow as tf
import os
import matplotlib.pyplot as plt
import PIL
import seaborn as sns
from tensorflow.keras.preprocessing.image import ImageDataGenerator
from tensorflow.keras.applications.resnet50 import ResNet50
from tensorflow.keras.applications.inception_resnet_v2 import InceptionResNetV2
from tensorflow.keras.layers import *
from tensorflow.keras.models import Model, load_model
from tensorflow.keras.initializers import glorot_uniform
from tensorflow.keras.utils import plot_model
from IPython.display import display
from tensorflow.keras import backend as K
from tensorflow.keras.optimizers import SGD
from tensorflow.keras.preprocessing.image import ImageDataGenerator
from tensorflow.keras.callbacks import ReduceLROnPlateau, EarlyStopping, ModelCheckpoint, LearningRateScheduler
In [2]:
# Set directory
%cd C:\Users\Joseff\Desktop\Transfer Learning For Food Classification\food11
C:\Users\Joseff\Desktop\Transfer Learning For Food Classification\food11
In [3]:
# List all folders under training
os.listdir('./training')
Out[3]:
['Bread', 'Dairy product', 'Dessert', 'Egg', 'Fried food', 'Meat', 'Noodles-Pasta', 'Rice', 'Seafood', 'Soup', 'Vegetable-Fruit']
In [4]:
# List all folders under validation
os.listdir('./validation')
Out[4]:
['Bread', 'Dairy product', 'Dessert', 'Egg', 'Fried food', 'Meat', 'Noodles-Pasta', 'Rice', 'Seafood', 'Soup', 'Vegetable-Fruit']
In [5]:
# List all folders under evaluation
os.listdir('./evaluation')
Out[5]:
['Bread', 'Dairy product', 'Dessert', 'Egg', 'Fried food', 'Meat', 'Noodles-Pasta', 'Rice', 'Seafood', 'Soup', 'Vegetable-Fruit']
In [6]:
# Check the number of images in training, validation and evaluation dataset
train = []
valid = []
test = []
# os.listdir returns the list of files in the folder, in this case image class names
for i in os.listdir('./training'):
train.extend(os.listdir(os.path.join('training', i)))
valid.extend(os.listdir(os.path.join('validation', i)))
test.extend(os.listdir(os.path.join('evaluation', i)))
# Show the number of images
print('Number of train images: {} \nNumber of validation images: {} \nNumber of test images: {}'.format(len(train), len(valid), len(test)))
Number of train images: 9308 Number of validation images: 3383 Number of test images: 3180
In [7]:
# check the number of images in each class in the training dataset
No_images_per_class = []
Class_name = []
for i in os.listdir('./training'):
Class_name.append(i)
train_class = os.listdir(os.path.join('training',i))
print('Number of images in {}={}\n'.format(i,len(train_class)))
No_images_per_class.append(len(train_class))
Number of images in Bread=800 Number of images in Dairy product=394 Number of images in Dessert=1490 Number of images in Egg=986 Number of images in Fried food=847 Number of images in Meat=1318 Number of images in Noodles-Pasta=440 Number of images in Rice=277 Number of images in Seafood=853 Number of images in Soup=1500 Number of images in Vegetable-Fruit=403
In [8]:
# Check the number of images per class
No_images_per_class
Out[8]:
[800, 394, 1490, 986, 847, 1318, 440, 277, 853, 1500, 403]
Data Visualization¶
In [9]:
# Visualize the number of images in each class in the training dataset
fig = plt.figure(figsize=(10, 5))
plt.bar(Class_name, No_images_per_class, color = sns.color_palette("cubehelix", len(Class_name)))
fig.tight_layout()
plt.show()
In [10]:
# Visualize the images in the dataset
fig, axs = plt.subplots(11, 5, figsize = (32,32))
count = 0
# For every class in the dataset
for i in os.listdir('./training'):
# get the list of all images that belong to a particular class
train_class = os.listdir(os.path.join('training', i))
# Plot 5 images per class
for j in range(5):
img = os.path.join('training', i, train_class[j])
axs[count][j].title.set_text(i)
axs[count][j].imshow(PIL.Image.open(img))
count += 1
fig.tight_layout()
plt.show()
In [11]:
# Visualize the images in the validation dataset
fig, axes = plt.subplots(11,5, figsize=(32,32))
count = 0
for i in os.listdir('./validation'):
# Get the list of images in the particualr class
validation_class = os.listdir(os.path.join('validation',i))
# Plot 3 images per class
for j in range(5):
img = os.path.join('validation', i, validation_class[j])
img = PIL.Image.open(img)
axes[count][j].title.set_text(i)
axes[count][j].imshow(img)
count += 1
fig.tight_layout()
plt.show()
Image Augmentation¶
In [12]:
# Create run-time augmentation on training and test dataset
# For training datagenerator, we add normalization, shear angle, zooming range and horizontal flip
train_datagen = ImageDataGenerator(
rescale = 1./255,
shear_range = 0.2,
zoom_range = 0.2,
horizontal_flip = True)
# For test datagenerator, we only normalize the data.
test_datagen = ImageDataGenerator(rescale=1./255)
In [13]:
# Create data generator for training dataset.
train_generator = train_datagen.flow_from_directory(
'training',
target_size = (256, 256),
batch_size = 32,
class_mode = 'categorical')
Found 9308 images belonging to 11 classes.
In [14]:
# Create data generator for validation dataset.
validation_generator = test_datagen.flow_from_directory(
'validation',
target_size = (256, 256),
batch_size = 32,
class_mode = 'categorical')
Found 3383 images belonging to 11 classes.
In [15]:
# Create data generator for test dataset.
test_generator = test_datagen.flow_from_directory(
'evaluation',
target_size = (256, 256),
batch_size = 32,
class_mode = 'categorical')
Found 3180 images belonging to 11 classes.
Deep Transfer Learning (Inception ResNetV2)¶
In [16]:
# load the inception resnetv2 model
basemodel = InceptionResNetV2(weights = 'imagenet', include_top = False, input_tensor = Input(shape = (256, 256, 3)))
In [17]:
# Print the model summary
basemodel.summary()
Model: "inception_resnet_v2"
__________________________________________________________________________________________________
Layer (type) Output Shape Param # Connected to
==================================================================================================
input_1 (InputLayer) [(None, 256, 256, 3) 0
__________________________________________________________________________________________________
conv2d (Conv2D) (None, 127, 127, 32) 864 input_1[0][0]
__________________________________________________________________________________________________
batch_normalization (BatchNorma (None, 127, 127, 32) 96 conv2d[0][0]
__________________________________________________________________________________________________
activation (Activation) (None, 127, 127, 32) 0 batch_normalization[0][0]
__________________________________________________________________________________________________
conv2d_1 (Conv2D) (None, 125, 125, 32) 9216 activation[0][0]
__________________________________________________________________________________________________
batch_normalization_1 (BatchNor (None, 125, 125, 32) 96 conv2d_1[0][0]
__________________________________________________________________________________________________
activation_1 (Activation) (None, 125, 125, 32) 0 batch_normalization_1[0][0]
__________________________________________________________________________________________________
conv2d_2 (Conv2D) (None, 125, 125, 64) 18432 activation_1[0][0]
__________________________________________________________________________________________________
batch_normalization_2 (BatchNor (None, 125, 125, 64) 192 conv2d_2[0][0]
__________________________________________________________________________________________________
activation_2 (Activation) (None, 125, 125, 64) 0 batch_normalization_2[0][0]
__________________________________________________________________________________________________
max_pooling2d (MaxPooling2D) (None, 62, 62, 64) 0 activation_2[0][0]
__________________________________________________________________________________________________
conv2d_3 (Conv2D) (None, 62, 62, 80) 5120 max_pooling2d[0][0]
__________________________________________________________________________________________________
batch_normalization_3 (BatchNor (None, 62, 62, 80) 240 conv2d_3[0][0]
__________________________________________________________________________________________________
activation_3 (Activation) (None, 62, 62, 80) 0 batch_normalization_3[0][0]
__________________________________________________________________________________________________
conv2d_4 (Conv2D) (None, 60, 60, 192) 138240 activation_3[0][0]
__________________________________________________________________________________________________
batch_normalization_4 (BatchNor (None, 60, 60, 192) 576 conv2d_4[0][0]
__________________________________________________________________________________________________
activation_4 (Activation) (None, 60, 60, 192) 0 batch_normalization_4[0][0]
__________________________________________________________________________________________________
max_pooling2d_1 (MaxPooling2D) (None, 29, 29, 192) 0 activation_4[0][0]
__________________________________________________________________________________________________
conv2d_8 (Conv2D) (None, 29, 29, 64) 12288 max_pooling2d_1[0][0]
__________________________________________________________________________________________________
batch_normalization_8 (BatchNor (None, 29, 29, 64) 192 conv2d_8[0][0]
__________________________________________________________________________________________________
activation_8 (Activation) (None, 29, 29, 64) 0 batch_normalization_8[0][0]
__________________________________________________________________________________________________
conv2d_6 (Conv2D) (None, 29, 29, 48) 9216 max_pooling2d_1[0][0]
__________________________________________________________________________________________________
conv2d_9 (Conv2D) (None, 29, 29, 96) 55296 activation_8[0][0]
__________________________________________________________________________________________________
batch_normalization_6 (BatchNor (None, 29, 29, 48) 144 conv2d_6[0][0]
__________________________________________________________________________________________________
batch_normalization_9 (BatchNor (None, 29, 29, 96) 288 conv2d_9[0][0]
__________________________________________________________________________________________________
activation_6 (Activation) (None, 29, 29, 48) 0 batch_normalization_6[0][0]
__________________________________________________________________________________________________
activation_9 (Activation) (None, 29, 29, 96) 0 batch_normalization_9[0][0]
__________________________________________________________________________________________________
average_pooling2d (AveragePooli (None, 29, 29, 192) 0 max_pooling2d_1[0][0]
__________________________________________________________________________________________________
conv2d_5 (Conv2D) (None, 29, 29, 96) 18432 max_pooling2d_1[0][0]
__________________________________________________________________________________________________
conv2d_7 (Conv2D) (None, 29, 29, 64) 76800 activation_6[0][0]
__________________________________________________________________________________________________
conv2d_10 (Conv2D) (None, 29, 29, 96) 82944 activation_9[0][0]
__________________________________________________________________________________________________
conv2d_11 (Conv2D) (None, 29, 29, 64) 12288 average_pooling2d[0][0]
__________________________________________________________________________________________________
batch_normalization_5 (BatchNor (None, 29, 29, 96) 288 conv2d_5[0][0]
__________________________________________________________________________________________________
batch_normalization_7 (BatchNor (None, 29, 29, 64) 192 conv2d_7[0][0]
__________________________________________________________________________________________________
batch_normalization_10 (BatchNo (None, 29, 29, 96) 288 conv2d_10[0][0]
__________________________________________________________________________________________________
batch_normalization_11 (BatchNo (None, 29, 29, 64) 192 conv2d_11[0][0]
__________________________________________________________________________________________________
activation_5 (Activation) (None, 29, 29, 96) 0 batch_normalization_5[0][0]
__________________________________________________________________________________________________
activation_7 (Activation) (None, 29, 29, 64) 0 batch_normalization_7[0][0]
__________________________________________________________________________________________________
activation_10 (Activation) (None, 29, 29, 96) 0 batch_normalization_10[0][0]
__________________________________________________________________________________________________
activation_11 (Activation) (None, 29, 29, 64) 0 batch_normalization_11[0][0]
__________________________________________________________________________________________________
mixed_5b (Concatenate) (None, 29, 29, 320) 0 activation_5[0][0]
activation_7[0][0]
activation_10[0][0]
activation_11[0][0]
__________________________________________________________________________________________________
conv2d_15 (Conv2D) (None, 29, 29, 32) 10240 mixed_5b[0][0]
__________________________________________________________________________________________________
batch_normalization_15 (BatchNo (None, 29, 29, 32) 96 conv2d_15[0][0]
__________________________________________________________________________________________________
activation_15 (Activation) (None, 29, 29, 32) 0 batch_normalization_15[0][0]
__________________________________________________________________________________________________
conv2d_13 (Conv2D) (None, 29, 29, 32) 10240 mixed_5b[0][0]
__________________________________________________________________________________________________
conv2d_16 (Conv2D) (None, 29, 29, 48) 13824 activation_15[0][0]
__________________________________________________________________________________________________
batch_normalization_13 (BatchNo (None, 29, 29, 32) 96 conv2d_13[0][0]
__________________________________________________________________________________________________
batch_normalization_16 (BatchNo (None, 29, 29, 48) 144 conv2d_16[0][0]
__________________________________________________________________________________________________
activation_13 (Activation) (None, 29, 29, 32) 0 batch_normalization_13[0][0]
__________________________________________________________________________________________________
activation_16 (Activation) (None, 29, 29, 48) 0 batch_normalization_16[0][0]
__________________________________________________________________________________________________
conv2d_12 (Conv2D) (None, 29, 29, 32) 10240 mixed_5b[0][0]
__________________________________________________________________________________________________
conv2d_14 (Conv2D) (None, 29, 29, 32) 9216 activation_13[0][0]
__________________________________________________________________________________________________
conv2d_17 (Conv2D) (None, 29, 29, 64) 27648 activation_16[0][0]
__________________________________________________________________________________________________
batch_normalization_12 (BatchNo (None, 29, 29, 32) 96 conv2d_12[0][0]
__________________________________________________________________________________________________
batch_normalization_14 (BatchNo (None, 29, 29, 32) 96 conv2d_14[0][0]
__________________________________________________________________________________________________
batch_normalization_17 (BatchNo (None, 29, 29, 64) 192 conv2d_17[0][0]
__________________________________________________________________________________________________
activation_12 (Activation) (None, 29, 29, 32) 0 batch_normalization_12[0][0]
__________________________________________________________________________________________________
activation_14 (Activation) (None, 29, 29, 32) 0 batch_normalization_14[0][0]
__________________________________________________________________________________________________
activation_17 (Activation) (None, 29, 29, 64) 0 batch_normalization_17[0][0]
__________________________________________________________________________________________________
block35_1_mixed (Concatenate) (None, 29, 29, 128) 0 activation_12[0][0]
activation_14[0][0]
activation_17[0][0]
__________________________________________________________________________________________________
block35_1_conv (Conv2D) (None, 29, 29, 320) 41280 block35_1_mixed[0][0]
__________________________________________________________________________________________________
block35_1 (Lambda) (None, 29, 29, 320) 0 mixed_5b[0][0]
block35_1_conv[0][0]
__________________________________________________________________________________________________
block35_1_ac (Activation) (None, 29, 29, 320) 0 block35_1[0][0]
__________________________________________________________________________________________________
conv2d_21 (Conv2D) (None, 29, 29, 32) 10240 block35_1_ac[0][0]
__________________________________________________________________________________________________
batch_normalization_21 (BatchNo (None, 29, 29, 32) 96 conv2d_21[0][0]
__________________________________________________________________________________________________
activation_21 (Activation) (None, 29, 29, 32) 0 batch_normalization_21[0][0]
__________________________________________________________________________________________________
conv2d_19 (Conv2D) (None, 29, 29, 32) 10240 block35_1_ac[0][0]
__________________________________________________________________________________________________
conv2d_22 (Conv2D) (None, 29, 29, 48) 13824 activation_21[0][0]
__________________________________________________________________________________________________
batch_normalization_19 (BatchNo (None, 29, 29, 32) 96 conv2d_19[0][0]
__________________________________________________________________________________________________
batch_normalization_22 (BatchNo (None, 29, 29, 48) 144 conv2d_22[0][0]
__________________________________________________________________________________________________
activation_19 (Activation) (None, 29, 29, 32) 0 batch_normalization_19[0][0]
__________________________________________________________________________________________________
activation_22 (Activation) (None, 29, 29, 48) 0 batch_normalization_22[0][0]
__________________________________________________________________________________________________
conv2d_18 (Conv2D) (None, 29, 29, 32) 10240 block35_1_ac[0][0]
__________________________________________________________________________________________________
conv2d_20 (Conv2D) (None, 29, 29, 32) 9216 activation_19[0][0]
__________________________________________________________________________________________________
conv2d_23 (Conv2D) (None, 29, 29, 64) 27648 activation_22[0][0]
__________________________________________________________________________________________________
batch_normalization_18 (BatchNo (None, 29, 29, 32) 96 conv2d_18[0][0]
__________________________________________________________________________________________________
batch_normalization_20 (BatchNo (None, 29, 29, 32) 96 conv2d_20[0][0]
__________________________________________________________________________________________________
batch_normalization_23 (BatchNo (None, 29, 29, 64) 192 conv2d_23[0][0]
__________________________________________________________________________________________________
activation_18 (Activation) (None, 29, 29, 32) 0 batch_normalization_18[0][0]
__________________________________________________________________________________________________
activation_20 (Activation) (None, 29, 29, 32) 0 batch_normalization_20[0][0]
__________________________________________________________________________________________________
activation_23 (Activation) (None, 29, 29, 64) 0 batch_normalization_23[0][0]
__________________________________________________________________________________________________
block35_2_mixed (Concatenate) (None, 29, 29, 128) 0 activation_18[0][0]
activation_20[0][0]
activation_23[0][0]
__________________________________________________________________________________________________
block35_2_conv (Conv2D) (None, 29, 29, 320) 41280 block35_2_mixed[0][0]
__________________________________________________________________________________________________
block35_2 (Lambda) (None, 29, 29, 320) 0 block35_1_ac[0][0]
block35_2_conv[0][0]
__________________________________________________________________________________________________
block35_2_ac (Activation) (None, 29, 29, 320) 0 block35_2[0][0]
__________________________________________________________________________________________________
conv2d_27 (Conv2D) (None, 29, 29, 32) 10240 block35_2_ac[0][0]
__________________________________________________________________________________________________
batch_normalization_27 (BatchNo (None, 29, 29, 32) 96 conv2d_27[0][0]
__________________________________________________________________________________________________
activation_27 (Activation) (None, 29, 29, 32) 0 batch_normalization_27[0][0]
__________________________________________________________________________________________________
conv2d_25 (Conv2D) (None, 29, 29, 32) 10240 block35_2_ac[0][0]
__________________________________________________________________________________________________
conv2d_28 (Conv2D) (None, 29, 29, 48) 13824 activation_27[0][0]
__________________________________________________________________________________________________
batch_normalization_25 (BatchNo (None, 29, 29, 32) 96 conv2d_25[0][0]
__________________________________________________________________________________________________
batch_normalization_28 (BatchNo (None, 29, 29, 48) 144 conv2d_28[0][0]
__________________________________________________________________________________________________
activation_25 (Activation) (None, 29, 29, 32) 0 batch_normalization_25[0][0]
__________________________________________________________________________________________________
activation_28 (Activation) (None, 29, 29, 48) 0 batch_normalization_28[0][0]
__________________________________________________________________________________________________
conv2d_24 (Conv2D) (None, 29, 29, 32) 10240 block35_2_ac[0][0]
__________________________________________________________________________________________________
conv2d_26 (Conv2D) (None, 29, 29, 32) 9216 activation_25[0][0]
__________________________________________________________________________________________________
conv2d_29 (Conv2D) (None, 29, 29, 64) 27648 activation_28[0][0]
__________________________________________________________________________________________________
batch_normalization_24 (BatchNo (None, 29, 29, 32) 96 conv2d_24[0][0]
__________________________________________________________________________________________________
batch_normalization_26 (BatchNo (None, 29, 29, 32) 96 conv2d_26[0][0]
__________________________________________________________________________________________________
batch_normalization_29 (BatchNo (None, 29, 29, 64) 192 conv2d_29[0][0]
__________________________________________________________________________________________________
activation_24 (Activation) (None, 29, 29, 32) 0 batch_normalization_24[0][0]
__________________________________________________________________________________________________
activation_26 (Activation) (None, 29, 29, 32) 0 batch_normalization_26[0][0]
__________________________________________________________________________________________________
activation_29 (Activation) (None, 29, 29, 64) 0 batch_normalization_29[0][0]
__________________________________________________________________________________________________
block35_3_mixed (Concatenate) (None, 29, 29, 128) 0 activation_24[0][0]
activation_26[0][0]
activation_29[0][0]
__________________________________________________________________________________________________
block35_3_conv (Conv2D) (None, 29, 29, 320) 41280 block35_3_mixed[0][0]
__________________________________________________________________________________________________
block35_3 (Lambda) (None, 29, 29, 320) 0 block35_2_ac[0][0]
block35_3_conv[0][0]
__________________________________________________________________________________________________
block35_3_ac (Activation) (None, 29, 29, 320) 0 block35_3[0][0]
__________________________________________________________________________________________________
conv2d_33 (Conv2D) (None, 29, 29, 32) 10240 block35_3_ac[0][0]
__________________________________________________________________________________________________
batch_normalization_33 (BatchNo (None, 29, 29, 32) 96 conv2d_33[0][0]
__________________________________________________________________________________________________
activation_33 (Activation) (None, 29, 29, 32) 0 batch_normalization_33[0][0]
__________________________________________________________________________________________________
conv2d_31 (Conv2D) (None, 29, 29, 32) 10240 block35_3_ac[0][0]
__________________________________________________________________________________________________
conv2d_34 (Conv2D) (None, 29, 29, 48) 13824 activation_33[0][0]
__________________________________________________________________________________________________
batch_normalization_31 (BatchNo (None, 29, 29, 32) 96 conv2d_31[0][0]
__________________________________________________________________________________________________
batch_normalization_34 (BatchNo (None, 29, 29, 48) 144 conv2d_34[0][0]
__________________________________________________________________________________________________
activation_31 (Activation) (None, 29, 29, 32) 0 batch_normalization_31[0][0]
__________________________________________________________________________________________________
activation_34 (Activation) (None, 29, 29, 48) 0 batch_normalization_34[0][0]
__________________________________________________________________________________________________
conv2d_30 (Conv2D) (None, 29, 29, 32) 10240 block35_3_ac[0][0]
__________________________________________________________________________________________________
conv2d_32 (Conv2D) (None, 29, 29, 32) 9216 activation_31[0][0]
__________________________________________________________________________________________________
conv2d_35 (Conv2D) (None, 29, 29, 64) 27648 activation_34[0][0]
__________________________________________________________________________________________________
batch_normalization_30 (BatchNo (None, 29, 29, 32) 96 conv2d_30[0][0]
__________________________________________________________________________________________________
batch_normalization_32 (BatchNo (None, 29, 29, 32) 96 conv2d_32[0][0]
__________________________________________________________________________________________________
batch_normalization_35 (BatchNo (None, 29, 29, 64) 192 conv2d_35[0][0]
__________________________________________________________________________________________________
activation_30 (Activation) (None, 29, 29, 32) 0 batch_normalization_30[0][0]
__________________________________________________________________________________________________
activation_32 (Activation) (None, 29, 29, 32) 0 batch_normalization_32[0][0]
__________________________________________________________________________________________________
activation_35 (Activation) (None, 29, 29, 64) 0 batch_normalization_35[0][0]
__________________________________________________________________________________________________
block35_4_mixed (Concatenate) (None, 29, 29, 128) 0 activation_30[0][0]
activation_32[0][0]
activation_35[0][0]
__________________________________________________________________________________________________
block35_4_conv (Conv2D) (None, 29, 29, 320) 41280 block35_4_mixed[0][0]
__________________________________________________________________________________________________
block35_4 (Lambda) (None, 29, 29, 320) 0 block35_3_ac[0][0]
block35_4_conv[0][0]
__________________________________________________________________________________________________
block35_4_ac (Activation) (None, 29, 29, 320) 0 block35_4[0][0]
__________________________________________________________________________________________________
conv2d_39 (Conv2D) (None, 29, 29, 32) 10240 block35_4_ac[0][0]
__________________________________________________________________________________________________
batch_normalization_39 (BatchNo (None, 29, 29, 32) 96 conv2d_39[0][0]
__________________________________________________________________________________________________
activation_39 (Activation) (None, 29, 29, 32) 0 batch_normalization_39[0][0]
__________________________________________________________________________________________________
conv2d_37 (Conv2D) (None, 29, 29, 32) 10240 block35_4_ac[0][0]
__________________________________________________________________________________________________
conv2d_40 (Conv2D) (None, 29, 29, 48) 13824 activation_39[0][0]
__________________________________________________________________________________________________
batch_normalization_37 (BatchNo (None, 29, 29, 32) 96 conv2d_37[0][0]
__________________________________________________________________________________________________
batch_normalization_40 (BatchNo (None, 29, 29, 48) 144 conv2d_40[0][0]
__________________________________________________________________________________________________
activation_37 (Activation) (None, 29, 29, 32) 0 batch_normalization_37[0][0]
__________________________________________________________________________________________________
activation_40 (Activation) (None, 29, 29, 48) 0 batch_normalization_40[0][0]
__________________________________________________________________________________________________
conv2d_36 (Conv2D) (None, 29, 29, 32) 10240 block35_4_ac[0][0]
__________________________________________________________________________________________________
conv2d_38 (Conv2D) (None, 29, 29, 32) 9216 activation_37[0][0]
__________________________________________________________________________________________________
conv2d_41 (Conv2D) (None, 29, 29, 64) 27648 activation_40[0][0]
__________________________________________________________________________________________________
batch_normalization_36 (BatchNo (None, 29, 29, 32) 96 conv2d_36[0][0]
__________________________________________________________________________________________________
batch_normalization_38 (BatchNo (None, 29, 29, 32) 96 conv2d_38[0][0]
__________________________________________________________________________________________________
batch_normalization_41 (BatchNo (None, 29, 29, 64) 192 conv2d_41[0][0]
__________________________________________________________________________________________________
activation_36 (Activation) (None, 29, 29, 32) 0 batch_normalization_36[0][0]
__________________________________________________________________________________________________
activation_38 (Activation) (None, 29, 29, 32) 0 batch_normalization_38[0][0]
__________________________________________________________________________________________________
activation_41 (Activation) (None, 29, 29, 64) 0 batch_normalization_41[0][0]
__________________________________________________________________________________________________
block35_5_mixed (Concatenate) (None, 29, 29, 128) 0 activation_36[0][0]
activation_38[0][0]
activation_41[0][0]
__________________________________________________________________________________________________
block35_5_conv (Conv2D) (None, 29, 29, 320) 41280 block35_5_mixed[0][0]
__________________________________________________________________________________________________
block35_5 (Lambda) (None, 29, 29, 320) 0 block35_4_ac[0][0]
block35_5_conv[0][0]
__________________________________________________________________________________________________
block35_5_ac (Activation) (None, 29, 29, 320) 0 block35_5[0][0]
__________________________________________________________________________________________________
conv2d_45 (Conv2D) (None, 29, 29, 32) 10240 block35_5_ac[0][0]
__________________________________________________________________________________________________
batch_normalization_45 (BatchNo (None, 29, 29, 32) 96 conv2d_45[0][0]
__________________________________________________________________________________________________
activation_45 (Activation) (None, 29, 29, 32) 0 batch_normalization_45[0][0]
__________________________________________________________________________________________________
conv2d_43 (Conv2D) (None, 29, 29, 32) 10240 block35_5_ac[0][0]
__________________________________________________________________________________________________
conv2d_46 (Conv2D) (None, 29, 29, 48) 13824 activation_45[0][0]
__________________________________________________________________________________________________
batch_normalization_43 (BatchNo (None, 29, 29, 32) 96 conv2d_43[0][0]
__________________________________________________________________________________________________
batch_normalization_46 (BatchNo (None, 29, 29, 48) 144 conv2d_46[0][0]
__________________________________________________________________________________________________
activation_43 (Activation) (None, 29, 29, 32) 0 batch_normalization_43[0][0]
__________________________________________________________________________________________________
activation_46 (Activation) (None, 29, 29, 48) 0 batch_normalization_46[0][0]
__________________________________________________________________________________________________
conv2d_42 (Conv2D) (None, 29, 29, 32) 10240 block35_5_ac[0][0]
__________________________________________________________________________________________________
conv2d_44 (Conv2D) (None, 29, 29, 32) 9216 activation_43[0][0]
__________________________________________________________________________________________________
conv2d_47 (Conv2D) (None, 29, 29, 64) 27648 activation_46[0][0]
__________________________________________________________________________________________________
batch_normalization_42 (BatchNo (None, 29, 29, 32) 96 conv2d_42[0][0]
__________________________________________________________________________________________________
batch_normalization_44 (BatchNo (None, 29, 29, 32) 96 conv2d_44[0][0]
__________________________________________________________________________________________________
batch_normalization_47 (BatchNo (None, 29, 29, 64) 192 conv2d_47[0][0]
__________________________________________________________________________________________________
activation_42 (Activation) (None, 29, 29, 32) 0 batch_normalization_42[0][0]
__________________________________________________________________________________________________
activation_44 (Activation) (None, 29, 29, 32) 0 batch_normalization_44[0][0]
__________________________________________________________________________________________________
activation_47 (Activation) (None, 29, 29, 64) 0 batch_normalization_47[0][0]
__________________________________________________________________________________________________
block35_6_mixed (Concatenate) (None, 29, 29, 128) 0 activation_42[0][0]
activation_44[0][0]
activation_47[0][0]
__________________________________________________________________________________________________
block35_6_conv (Conv2D) (None, 29, 29, 320) 41280 block35_6_mixed[0][0]
__________________________________________________________________________________________________
block35_6 (Lambda) (None, 29, 29, 320) 0 block35_5_ac[0][0]
block35_6_conv[0][0]
__________________________________________________________________________________________________
block35_6_ac (Activation) (None, 29, 29, 320) 0 block35_6[0][0]
__________________________________________________________________________________________________
conv2d_51 (Conv2D) (None, 29, 29, 32) 10240 block35_6_ac[0][0]
__________________________________________________________________________________________________
batch_normalization_51 (BatchNo (None, 29, 29, 32) 96 conv2d_51[0][0]
__________________________________________________________________________________________________
activation_51 (Activation) (None, 29, 29, 32) 0 batch_normalization_51[0][0]
__________________________________________________________________________________________________
conv2d_49 (Conv2D) (None, 29, 29, 32) 10240 block35_6_ac[0][0]
__________________________________________________________________________________________________
conv2d_52 (Conv2D) (None, 29, 29, 48) 13824 activation_51[0][0]
__________________________________________________________________________________________________
batch_normalization_49 (BatchNo (None, 29, 29, 32) 96 conv2d_49[0][0]
__________________________________________________________________________________________________
batch_normalization_52 (BatchNo (None, 29, 29, 48) 144 conv2d_52[0][0]
__________________________________________________________________________________________________
activation_49 (Activation) (None, 29, 29, 32) 0 batch_normalization_49[0][0]
__________________________________________________________________________________________________
activation_52 (Activation) (None, 29, 29, 48) 0 batch_normalization_52[0][0]
__________________________________________________________________________________________________
conv2d_48 (Conv2D) (None, 29, 29, 32) 10240 block35_6_ac[0][0]
__________________________________________________________________________________________________
conv2d_50 (Conv2D) (None, 29, 29, 32) 9216 activation_49[0][0]
__________________________________________________________________________________________________
conv2d_53 (Conv2D) (None, 29, 29, 64) 27648 activation_52[0][0]
__________________________________________________________________________________________________
batch_normalization_48 (BatchNo (None, 29, 29, 32) 96 conv2d_48[0][0]
__________________________________________________________________________________________________
batch_normalization_50 (BatchNo (None, 29, 29, 32) 96 conv2d_50[0][0]
__________________________________________________________________________________________________
batch_normalization_53 (BatchNo (None, 29, 29, 64) 192 conv2d_53[0][0]
__________________________________________________________________________________________________
activation_48 (Activation) (None, 29, 29, 32) 0 batch_normalization_48[0][0]
__________________________________________________________________________________________________
activation_50 (Activation) (None, 29, 29, 32) 0 batch_normalization_50[0][0]
__________________________________________________________________________________________________
activation_53 (Activation) (None, 29, 29, 64) 0 batch_normalization_53[0][0]
__________________________________________________________________________________________________
block35_7_mixed (Concatenate) (None, 29, 29, 128) 0 activation_48[0][0]
activation_50[0][0]
activation_53[0][0]
__________________________________________________________________________________________________
block35_7_conv (Conv2D) (None, 29, 29, 320) 41280 block35_7_mixed[0][0]
__________________________________________________________________________________________________
block35_7 (Lambda) (None, 29, 29, 320) 0 block35_6_ac[0][0]
block35_7_conv[0][0]
__________________________________________________________________________________________________
block35_7_ac (Activation) (None, 29, 29, 320) 0 block35_7[0][0]
__________________________________________________________________________________________________
conv2d_57 (Conv2D) (None, 29, 29, 32) 10240 block35_7_ac[0][0]
__________________________________________________________________________________________________
batch_normalization_57 (BatchNo (None, 29, 29, 32) 96 conv2d_57[0][0]
__________________________________________________________________________________________________
activation_57 (Activation) (None, 29, 29, 32) 0 batch_normalization_57[0][0]
__________________________________________________________________________________________________
conv2d_55 (Conv2D) (None, 29, 29, 32) 10240 block35_7_ac[0][0]
__________________________________________________________________________________________________
conv2d_58 (Conv2D) (None, 29, 29, 48) 13824 activation_57[0][0]
__________________________________________________________________________________________________
batch_normalization_55 (BatchNo (None, 29, 29, 32) 96 conv2d_55[0][0]
__________________________________________________________________________________________________
batch_normalization_58 (BatchNo (None, 29, 29, 48) 144 conv2d_58[0][0]
__________________________________________________________________________________________________
activation_55 (Activation) (None, 29, 29, 32) 0 batch_normalization_55[0][0]
__________________________________________________________________________________________________
activation_58 (Activation) (None, 29, 29, 48) 0 batch_normalization_58[0][0]
__________________________________________________________________________________________________
conv2d_54 (Conv2D) (None, 29, 29, 32) 10240 block35_7_ac[0][0]
__________________________________________________________________________________________________
conv2d_56 (Conv2D) (None, 29, 29, 32) 9216 activation_55[0][0]
__________________________________________________________________________________________________
conv2d_59 (Conv2D) (None, 29, 29, 64) 27648 activation_58[0][0]
__________________________________________________________________________________________________
batch_normalization_54 (BatchNo (None, 29, 29, 32) 96 conv2d_54[0][0]
__________________________________________________________________________________________________
batch_normalization_56 (BatchNo (None, 29, 29, 32) 96 conv2d_56[0][0]
__________________________________________________________________________________________________
batch_normalization_59 (BatchNo (None, 29, 29, 64) 192 conv2d_59[0][0]
__________________________________________________________________________________________________
activation_54 (Activation) (None, 29, 29, 32) 0 batch_normalization_54[0][0]
__________________________________________________________________________________________________
activation_56 (Activation) (None, 29, 29, 32) 0 batch_normalization_56[0][0]
__________________________________________________________________________________________________
activation_59 (Activation) (None, 29, 29, 64) 0 batch_normalization_59[0][0]
__________________________________________________________________________________________________
block35_8_mixed (Concatenate) (None, 29, 29, 128) 0 activation_54[0][0]
activation_56[0][0]
activation_59[0][0]
__________________________________________________________________________________________________
block35_8_conv (Conv2D) (None, 29, 29, 320) 41280 block35_8_mixed[0][0]
__________________________________________________________________________________________________
block35_8 (Lambda) (None, 29, 29, 320) 0 block35_7_ac[0][0]
block35_8_conv[0][0]
__________________________________________________________________________________________________
block35_8_ac (Activation) (None, 29, 29, 320) 0 block35_8[0][0]
__________________________________________________________________________________________________
conv2d_63 (Conv2D) (None, 29, 29, 32) 10240 block35_8_ac[0][0]
__________________________________________________________________________________________________
batch_normalization_63 (BatchNo (None, 29, 29, 32) 96 conv2d_63[0][0]
__________________________________________________________________________________________________
activation_63 (Activation) (None, 29, 29, 32) 0 batch_normalization_63[0][0]
__________________________________________________________________________________________________
conv2d_61 (Conv2D) (None, 29, 29, 32) 10240 block35_8_ac[0][0]
__________________________________________________________________________________________________
conv2d_64 (Conv2D) (None, 29, 29, 48) 13824 activation_63[0][0]
__________________________________________________________________________________________________
batch_normalization_61 (BatchNo (None, 29, 29, 32) 96 conv2d_61[0][0]
__________________________________________________________________________________________________
batch_normalization_64 (BatchNo (None, 29, 29, 48) 144 conv2d_64[0][0]
__________________________________________________________________________________________________
activation_61 (Activation) (None, 29, 29, 32) 0 batch_normalization_61[0][0]
__________________________________________________________________________________________________
activation_64 (Activation) (None, 29, 29, 48) 0 batch_normalization_64[0][0]
__________________________________________________________________________________________________
conv2d_60 (Conv2D) (None, 29, 29, 32) 10240 block35_8_ac[0][0]
__________________________________________________________________________________________________
conv2d_62 (Conv2D) (None, 29, 29, 32) 9216 activation_61[0][0]
__________________________________________________________________________________________________
conv2d_65 (Conv2D) (None, 29, 29, 64) 27648 activation_64[0][0]
__________________________________________________________________________________________________
batch_normalization_60 (BatchNo (None, 29, 29, 32) 96 conv2d_60[0][0]
__________________________________________________________________________________________________
batch_normalization_62 (BatchNo (None, 29, 29, 32) 96 conv2d_62[0][0]
__________________________________________________________________________________________________
batch_normalization_65 (BatchNo (None, 29, 29, 64) 192 conv2d_65[0][0]
__________________________________________________________________________________________________
activation_60 (Activation) (None, 29, 29, 32) 0 batch_normalization_60[0][0]
__________________________________________________________________________________________________
activation_62 (Activation) (None, 29, 29, 32) 0 batch_normalization_62[0][0]
__________________________________________________________________________________________________
activation_65 (Activation) (None, 29, 29, 64) 0 batch_normalization_65[0][0]
__________________________________________________________________________________________________
block35_9_mixed (Concatenate) (None, 29, 29, 128) 0 activation_60[0][0]
activation_62[0][0]
activation_65[0][0]
__________________________________________________________________________________________________
block35_9_conv (Conv2D) (None, 29, 29, 320) 41280 block35_9_mixed[0][0]
__________________________________________________________________________________________________
block35_9 (Lambda) (None, 29, 29, 320) 0 block35_8_ac[0][0]
block35_9_conv[0][0]
__________________________________________________________________________________________________
block35_9_ac (Activation) (None, 29, 29, 320) 0 block35_9[0][0]
__________________________________________________________________________________________________
conv2d_69 (Conv2D) (None, 29, 29, 32) 10240 block35_9_ac[0][0]
__________________________________________________________________________________________________
batch_normalization_69 (BatchNo (None, 29, 29, 32) 96 conv2d_69[0][0]
__________________________________________________________________________________________________
activation_69 (Activation) (None, 29, 29, 32) 0 batch_normalization_69[0][0]
__________________________________________________________________________________________________
conv2d_67 (Conv2D) (None, 29, 29, 32) 10240 block35_9_ac[0][0]
__________________________________________________________________________________________________
conv2d_70 (Conv2D) (None, 29, 29, 48) 13824 activation_69[0][0]
__________________________________________________________________________________________________
batch_normalization_67 (BatchNo (None, 29, 29, 32) 96 conv2d_67[0][0]
__________________________________________________________________________________________________
batch_normalization_70 (BatchNo (None, 29, 29, 48) 144 conv2d_70[0][0]
__________________________________________________________________________________________________
activation_67 (Activation) (None, 29, 29, 32) 0 batch_normalization_67[0][0]
__________________________________________________________________________________________________
activation_70 (Activation) (None, 29, 29, 48) 0 batch_normalization_70[0][0]
__________________________________________________________________________________________________
conv2d_66 (Conv2D) (None, 29, 29, 32) 10240 block35_9_ac[0][0]
__________________________________________________________________________________________________
conv2d_68 (Conv2D) (None, 29, 29, 32) 9216 activation_67[0][0]
__________________________________________________________________________________________________
conv2d_71 (Conv2D) (None, 29, 29, 64) 27648 activation_70[0][0]
__________________________________________________________________________________________________
batch_normalization_66 (BatchNo (None, 29, 29, 32) 96 conv2d_66[0][0]
__________________________________________________________________________________________________
batch_normalization_68 (BatchNo (None, 29, 29, 32) 96 conv2d_68[0][0]
__________________________________________________________________________________________________
batch_normalization_71 (BatchNo (None, 29, 29, 64) 192 conv2d_71[0][0]
__________________________________________________________________________________________________
activation_66 (Activation) (None, 29, 29, 32) 0 batch_normalization_66[0][0]
__________________________________________________________________________________________________
activation_68 (Activation) (None, 29, 29, 32) 0 batch_normalization_68[0][0]
__________________________________________________________________________________________________
activation_71 (Activation) (None, 29, 29, 64) 0 batch_normalization_71[0][0]
__________________________________________________________________________________________________
block35_10_mixed (Concatenate) (None, 29, 29, 128) 0 activation_66[0][0]
activation_68[0][0]
activation_71[0][0]
__________________________________________________________________________________________________
block35_10_conv (Conv2D) (None, 29, 29, 320) 41280 block35_10_mixed[0][0]
__________________________________________________________________________________________________
block35_10 (Lambda) (None, 29, 29, 320) 0 block35_9_ac[0][0]
block35_10_conv[0][0]
__________________________________________________________________________________________________
block35_10_ac (Activation) (None, 29, 29, 320) 0 block35_10[0][0]
__________________________________________________________________________________________________
conv2d_73 (Conv2D) (None, 29, 29, 256) 81920 block35_10_ac[0][0]
__________________________________________________________________________________________________
batch_normalization_73 (BatchNo (None, 29, 29, 256) 768 conv2d_73[0][0]
__________________________________________________________________________________________________
activation_73 (Activation) (None, 29, 29, 256) 0 batch_normalization_73[0][0]
__________________________________________________________________________________________________
conv2d_74 (Conv2D) (None, 29, 29, 256) 589824 activation_73[0][0]
__________________________________________________________________________________________________
batch_normalization_74 (BatchNo (None, 29, 29, 256) 768 conv2d_74[0][0]
__________________________________________________________________________________________________
activation_74 (Activation) (None, 29, 29, 256) 0 batch_normalization_74[0][0]
__________________________________________________________________________________________________
conv2d_72 (Conv2D) (None, 14, 14, 384) 1105920 block35_10_ac[0][0]
__________________________________________________________________________________________________
conv2d_75 (Conv2D) (None, 14, 14, 384) 884736 activation_74[0][0]
__________________________________________________________________________________________________
batch_normalization_72 (BatchNo (None, 14, 14, 384) 1152 conv2d_72[0][0]
__________________________________________________________________________________________________
batch_normalization_75 (BatchNo (None, 14, 14, 384) 1152 conv2d_75[0][0]
__________________________________________________________________________________________________
activation_72 (Activation) (None, 14, 14, 384) 0 batch_normalization_72[0][0]
__________________________________________________________________________________________________
activation_75 (Activation) (None, 14, 14, 384) 0 batch_normalization_75[0][0]
__________________________________________________________________________________________________
max_pooling2d_2 (MaxPooling2D) (None, 14, 14, 320) 0 block35_10_ac[0][0]
__________________________________________________________________________________________________
mixed_6a (Concatenate) (None, 14, 14, 1088) 0 activation_72[0][0]
activation_75[0][0]
max_pooling2d_2[0][0]
__________________________________________________________________________________________________
conv2d_77 (Conv2D) (None, 14, 14, 128) 139264 mixed_6a[0][0]
__________________________________________________________________________________________________
batch_normalization_77 (BatchNo (None, 14, 14, 128) 384 conv2d_77[0][0]
__________________________________________________________________________________________________
activation_77 (Activation) (None, 14, 14, 128) 0 batch_normalization_77[0][0]
__________________________________________________________________________________________________
conv2d_78 (Conv2D) (None, 14, 14, 160) 143360 activation_77[0][0]
__________________________________________________________________________________________________
batch_normalization_78 (BatchNo (None, 14, 14, 160) 480 conv2d_78[0][0]
__________________________________________________________________________________________________
activation_78 (Activation) (None, 14, 14, 160) 0 batch_normalization_78[0][0]
__________________________________________________________________________________________________
conv2d_76 (Conv2D) (None, 14, 14, 192) 208896 mixed_6a[0][0]
__________________________________________________________________________________________________
conv2d_79 (Conv2D) (None, 14, 14, 192) 215040 activation_78[0][0]
__________________________________________________________________________________________________
batch_normalization_76 (BatchNo (None, 14, 14, 192) 576 conv2d_76[0][0]
__________________________________________________________________________________________________
batch_normalization_79 (BatchNo (None, 14, 14, 192) 576 conv2d_79[0][0]
__________________________________________________________________________________________________
activation_76 (Activation) (None, 14, 14, 192) 0 batch_normalization_76[0][0]
__________________________________________________________________________________________________
activation_79 (Activation) (None, 14, 14, 192) 0 batch_normalization_79[0][0]
__________________________________________________________________________________________________
block17_1_mixed (Concatenate) (None, 14, 14, 384) 0 activation_76[0][0]
activation_79[0][0]
__________________________________________________________________________________________________
block17_1_conv (Conv2D) (None, 14, 14, 1088) 418880 block17_1_mixed[0][0]
__________________________________________________________________________________________________
block17_1 (Lambda) (None, 14, 14, 1088) 0 mixed_6a[0][0]
block17_1_conv[0][0]
__________________________________________________________________________________________________
block17_1_ac (Activation) (None, 14, 14, 1088) 0 block17_1[0][0]
__________________________________________________________________________________________________
conv2d_81 (Conv2D) (None, 14, 14, 128) 139264 block17_1_ac[0][0]
__________________________________________________________________________________________________
batch_normalization_81 (BatchNo (None, 14, 14, 128) 384 conv2d_81[0][0]
__________________________________________________________________________________________________
activation_81 (Activation) (None, 14, 14, 128) 0 batch_normalization_81[0][0]
__________________________________________________________________________________________________
conv2d_82 (Conv2D) (None, 14, 14, 160) 143360 activation_81[0][0]
__________________________________________________________________________________________________
batch_normalization_82 (BatchNo (None, 14, 14, 160) 480 conv2d_82[0][0]
__________________________________________________________________________________________________
activation_82 (Activation) (None, 14, 14, 160) 0 batch_normalization_82[0][0]
__________________________________________________________________________________________________
conv2d_80 (Conv2D) (None, 14, 14, 192) 208896 block17_1_ac[0][0]
__________________________________________________________________________________________________
conv2d_83 (Conv2D) (None, 14, 14, 192) 215040 activation_82[0][0]
__________________________________________________________________________________________________
batch_normalization_80 (BatchNo (None, 14, 14, 192) 576 conv2d_80[0][0]
__________________________________________________________________________________________________
batch_normalization_83 (BatchNo (None, 14, 14, 192) 576 conv2d_83[0][0]
__________________________________________________________________________________________________
activation_80 (Activation) (None, 14, 14, 192) 0 batch_normalization_80[0][0]
__________________________________________________________________________________________________
activation_83 (Activation) (None, 14, 14, 192) 0 batch_normalization_83[0][0]
__________________________________________________________________________________________________
block17_2_mixed (Concatenate) (None, 14, 14, 384) 0 activation_80[0][0]
activation_83[0][0]
__________________________________________________________________________________________________
block17_2_conv (Conv2D) (None, 14, 14, 1088) 418880 block17_2_mixed[0][0]
__________________________________________________________________________________________________
block17_2 (Lambda) (None, 14, 14, 1088) 0 block17_1_ac[0][0]
block17_2_conv[0][0]
__________________________________________________________________________________________________
block17_2_ac (Activation) (None, 14, 14, 1088) 0 block17_2[0][0]
__________________________________________________________________________________________________
conv2d_85 (Conv2D) (None, 14, 14, 128) 139264 block17_2_ac[0][0]
__________________________________________________________________________________________________
batch_normalization_85 (BatchNo (None, 14, 14, 128) 384 conv2d_85[0][0]
__________________________________________________________________________________________________
activation_85 (Activation) (None, 14, 14, 128) 0 batch_normalization_85[0][0]
__________________________________________________________________________________________________
conv2d_86 (Conv2D) (None, 14, 14, 160) 143360 activation_85[0][0]
__________________________________________________________________________________________________
batch_normalization_86 (BatchNo (None, 14, 14, 160) 480 conv2d_86[0][0]
__________________________________________________________________________________________________
activation_86 (Activation) (None, 14, 14, 160) 0 batch_normalization_86[0][0]
__________________________________________________________________________________________________
conv2d_84 (Conv2D) (None, 14, 14, 192) 208896 block17_2_ac[0][0]
__________________________________________________________________________________________________
conv2d_87 (Conv2D) (None, 14, 14, 192) 215040 activation_86[0][0]
__________________________________________________________________________________________________
batch_normalization_84 (BatchNo (None, 14, 14, 192) 576 conv2d_84[0][0]
__________________________________________________________________________________________________
batch_normalization_87 (BatchNo (None, 14, 14, 192) 576 conv2d_87[0][0]
__________________________________________________________________________________________________
activation_84 (Activation) (None, 14, 14, 192) 0 batch_normalization_84[0][0]
__________________________________________________________________________________________________
activation_87 (Activation) (None, 14, 14, 192) 0 batch_normalization_87[0][0]
__________________________________________________________________________________________________
block17_3_mixed (Concatenate) (None, 14, 14, 384) 0 activation_84[0][0]
activation_87[0][0]
__________________________________________________________________________________________________
block17_3_conv (Conv2D) (None, 14, 14, 1088) 418880 block17_3_mixed[0][0]
__________________________________________________________________________________________________
block17_3 (Lambda) (None, 14, 14, 1088) 0 block17_2_ac[0][0]
block17_3_conv[0][0]
__________________________________________________________________________________________________
block17_3_ac (Activation) (None, 14, 14, 1088) 0 block17_3[0][0]
__________________________________________________________________________________________________
conv2d_89 (Conv2D) (None, 14, 14, 128) 139264 block17_3_ac[0][0]
__________________________________________________________________________________________________
batch_normalization_89 (BatchNo (None, 14, 14, 128) 384 conv2d_89[0][0]
__________________________________________________________________________________________________
activation_89 (Activation) (None, 14, 14, 128) 0 batch_normalization_89[0][0]
__________________________________________________________________________________________________
conv2d_90 (Conv2D) (None, 14, 14, 160) 143360 activation_89[0][0]
__________________________________________________________________________________________________
batch_normalization_90 (BatchNo (None, 14, 14, 160) 480 conv2d_90[0][0]
__________________________________________________________________________________________________
activation_90 (Activation) (None, 14, 14, 160) 0 batch_normalization_90[0][0]
__________________________________________________________________________________________________
conv2d_88 (Conv2D) (None, 14, 14, 192) 208896 block17_3_ac[0][0]
__________________________________________________________________________________________________
conv2d_91 (Conv2D) (None, 14, 14, 192) 215040 activation_90[0][0]
__________________________________________________________________________________________________
batch_normalization_88 (BatchNo (None, 14, 14, 192) 576 conv2d_88[0][0]
__________________________________________________________________________________________________
batch_normalization_91 (BatchNo (None, 14, 14, 192) 576 conv2d_91[0][0]
__________________________________________________________________________________________________
activation_88 (Activation) (None, 14, 14, 192) 0 batch_normalization_88[0][0]
__________________________________________________________________________________________________
activation_91 (Activation) (None, 14, 14, 192) 0 batch_normalization_91[0][0]
__________________________________________________________________________________________________
block17_4_mixed (Concatenate) (None, 14, 14, 384) 0 activation_88[0][0]
activation_91[0][0]
__________________________________________________________________________________________________
block17_4_conv (Conv2D) (None, 14, 14, 1088) 418880 block17_4_mixed[0][0]
__________________________________________________________________________________________________
block17_4 (Lambda) (None, 14, 14, 1088) 0 block17_3_ac[0][0]
block17_4_conv[0][0]
__________________________________________________________________________________________________
block17_4_ac (Activation) (None, 14, 14, 1088) 0 block17_4[0][0]
__________________________________________________________________________________________________
conv2d_93 (Conv2D) (None, 14, 14, 128) 139264 block17_4_ac[0][0]
__________________________________________________________________________________________________
batch_normalization_93 (BatchNo (None, 14, 14, 128) 384 conv2d_93[0][0]
__________________________________________________________________________________________________
activation_93 (Activation) (None, 14, 14, 128) 0 batch_normalization_93[0][0]
__________________________________________________________________________________________________
conv2d_94 (Conv2D) (None, 14, 14, 160) 143360 activation_93[0][0]
__________________________________________________________________________________________________
batch_normalization_94 (BatchNo (None, 14, 14, 160) 480 conv2d_94[0][0]
__________________________________________________________________________________________________
activation_94 (Activation) (None, 14, 14, 160) 0 batch_normalization_94[0][0]
__________________________________________________________________________________________________
conv2d_92 (Conv2D) (None, 14, 14, 192) 208896 block17_4_ac[0][0]
__________________________________________________________________________________________________
conv2d_95 (Conv2D) (None, 14, 14, 192) 215040 activation_94[0][0]
__________________________________________________________________________________________________
batch_normalization_92 (BatchNo (None, 14, 14, 192) 576 conv2d_92[0][0]
__________________________________________________________________________________________________
batch_normalization_95 (BatchNo (None, 14, 14, 192) 576 conv2d_95[0][0]
__________________________________________________________________________________________________
activation_92 (Activation) (None, 14, 14, 192) 0 batch_normalization_92[0][0]
__________________________________________________________________________________________________
activation_95 (Activation) (None, 14, 14, 192) 0 batch_normalization_95[0][0]
__________________________________________________________________________________________________
block17_5_mixed (Concatenate) (None, 14, 14, 384) 0 activation_92[0][0]
activation_95[0][0]
__________________________________________________________________________________________________
block17_5_conv (Conv2D) (None, 14, 14, 1088) 418880 block17_5_mixed[0][0]
__________________________________________________________________________________________________
block17_5 (Lambda) (None, 14, 14, 1088) 0 block17_4_ac[0][0]
block17_5_conv[0][0]
__________________________________________________________________________________________________
block17_5_ac (Activation) (None, 14, 14, 1088) 0 block17_5[0][0]
__________________________________________________________________________________________________
conv2d_97 (Conv2D) (None, 14, 14, 128) 139264 block17_5_ac[0][0]
__________________________________________________________________________________________________
batch_normalization_97 (BatchNo (None, 14, 14, 128) 384 conv2d_97[0][0]
__________________________________________________________________________________________________
activation_97 (Activation) (None, 14, 14, 128) 0 batch_normalization_97[0][0]
__________________________________________________________________________________________________
conv2d_98 (Conv2D) (None, 14, 14, 160) 143360 activation_97[0][0]
__________________________________________________________________________________________________
batch_normalization_98 (BatchNo (None, 14, 14, 160) 480 conv2d_98[0][0]
__________________________________________________________________________________________________
activation_98 (Activation) (None, 14, 14, 160) 0 batch_normalization_98[0][0]
__________________________________________________________________________________________________
conv2d_96 (Conv2D) (None, 14, 14, 192) 208896 block17_5_ac[0][0]
__________________________________________________________________________________________________
conv2d_99 (Conv2D) (None, 14, 14, 192) 215040 activation_98[0][0]
__________________________________________________________________________________________________
batch_normalization_96 (BatchNo (None, 14, 14, 192) 576 conv2d_96[0][0]
__________________________________________________________________________________________________
batch_normalization_99 (BatchNo (None, 14, 14, 192) 576 conv2d_99[0][0]
__________________________________________________________________________________________________
activation_96 (Activation) (None, 14, 14, 192) 0 batch_normalization_96[0][0]
__________________________________________________________________________________________________
activation_99 (Activation) (None, 14, 14, 192) 0 batch_normalization_99[0][0]
__________________________________________________________________________________________________
block17_6_mixed (Concatenate) (None, 14, 14, 384) 0 activation_96[0][0]
activation_99[0][0]
__________________________________________________________________________________________________
block17_6_conv (Conv2D) (None, 14, 14, 1088) 418880 block17_6_mixed[0][0]
__________________________________________________________________________________________________
block17_6 (Lambda) (None, 14, 14, 1088) 0 block17_5_ac[0][0]
block17_6_conv[0][0]
__________________________________________________________________________________________________
block17_6_ac (Activation) (None, 14, 14, 1088) 0 block17_6[0][0]
__________________________________________________________________________________________________
conv2d_101 (Conv2D) (None, 14, 14, 128) 139264 block17_6_ac[0][0]
__________________________________________________________________________________________________
batch_normalization_101 (BatchN (None, 14, 14, 128) 384 conv2d_101[0][0]
__________________________________________________________________________________________________
activation_101 (Activation) (None, 14, 14, 128) 0 batch_normalization_101[0][0]
__________________________________________________________________________________________________
conv2d_102 (Conv2D) (None, 14, 14, 160) 143360 activation_101[0][0]
__________________________________________________________________________________________________
batch_normalization_102 (BatchN (None, 14, 14, 160) 480 conv2d_102[0][0]
__________________________________________________________________________________________________
activation_102 (Activation) (None, 14, 14, 160) 0 batch_normalization_102[0][0]
__________________________________________________________________________________________________
conv2d_100 (Conv2D) (None, 14, 14, 192) 208896 block17_6_ac[0][0]
__________________________________________________________________________________________________
conv2d_103 (Conv2D) (None, 14, 14, 192) 215040 activation_102[0][0]
__________________________________________________________________________________________________
batch_normalization_100 (BatchN (None, 14, 14, 192) 576 conv2d_100[0][0]
__________________________________________________________________________________________________
batch_normalization_103 (BatchN (None, 14, 14, 192) 576 conv2d_103[0][0]
__________________________________________________________________________________________________
activation_100 (Activation) (None, 14, 14, 192) 0 batch_normalization_100[0][0]
__________________________________________________________________________________________________
activation_103 (Activation) (None, 14, 14, 192) 0 batch_normalization_103[0][0]
__________________________________________________________________________________________________
block17_7_mixed (Concatenate) (None, 14, 14, 384) 0 activation_100[0][0]
activation_103[0][0]
__________________________________________________________________________________________________
block17_7_conv (Conv2D) (None, 14, 14, 1088) 418880 block17_7_mixed[0][0]
__________________________________________________________________________________________________
block17_7 (Lambda) (None, 14, 14, 1088) 0 block17_6_ac[0][0]
block17_7_conv[0][0]
__________________________________________________________________________________________________
block17_7_ac (Activation) (None, 14, 14, 1088) 0 block17_7[0][0]
__________________________________________________________________________________________________
conv2d_105 (Conv2D) (None, 14, 14, 128) 139264 block17_7_ac[0][0]
__________________________________________________________________________________________________
batch_normalization_105 (BatchN (None, 14, 14, 128) 384 conv2d_105[0][0]
__________________________________________________________________________________________________
activation_105 (Activation) (None, 14, 14, 128) 0 batch_normalization_105[0][0]
__________________________________________________________________________________________________
conv2d_106 (Conv2D) (None, 14, 14, 160) 143360 activation_105[0][0]
__________________________________________________________________________________________________
batch_normalization_106 (BatchN (None, 14, 14, 160) 480 conv2d_106[0][0]
__________________________________________________________________________________________________
activation_106 (Activation) (None, 14, 14, 160) 0 batch_normalization_106[0][0]
__________________________________________________________________________________________________
conv2d_104 (Conv2D) (None, 14, 14, 192) 208896 block17_7_ac[0][0]
__________________________________________________________________________________________________
conv2d_107 (Conv2D) (None, 14, 14, 192) 215040 activation_106[0][0]
__________________________________________________________________________________________________
batch_normalization_104 (BatchN (None, 14, 14, 192) 576 conv2d_104[0][0]
__________________________________________________________________________________________________
batch_normalization_107 (BatchN (None, 14, 14, 192) 576 conv2d_107[0][0]
__________________________________________________________________________________________________
activation_104 (Activation) (None, 14, 14, 192) 0 batch_normalization_104[0][0]
__________________________________________________________________________________________________
activation_107 (Activation) (None, 14, 14, 192) 0 batch_normalization_107[0][0]
__________________________________________________________________________________________________
block17_8_mixed (Concatenate) (None, 14, 14, 384) 0 activation_104[0][0]
activation_107[0][0]
__________________________________________________________________________________________________
block17_8_conv (Conv2D) (None, 14, 14, 1088) 418880 block17_8_mixed[0][0]
__________________________________________________________________________________________________
block17_8 (Lambda) (None, 14, 14, 1088) 0 block17_7_ac[0][0]
block17_8_conv[0][0]
__________________________________________________________________________________________________
block17_8_ac (Activation) (None, 14, 14, 1088) 0 block17_8[0][0]
__________________________________________________________________________________________________
conv2d_109 (Conv2D) (None, 14, 14, 128) 139264 block17_8_ac[0][0]
__________________________________________________________________________________________________
batch_normalization_109 (BatchN (None, 14, 14, 128) 384 conv2d_109[0][0]
__________________________________________________________________________________________________
activation_109 (Activation) (None, 14, 14, 128) 0 batch_normalization_109[0][0]
__________________________________________________________________________________________________
conv2d_110 (Conv2D) (None, 14, 14, 160) 143360 activation_109[0][0]
__________________________________________________________________________________________________
batch_normalization_110 (BatchN (None, 14, 14, 160) 480 conv2d_110[0][0]
__________________________________________________________________________________________________
activation_110 (Activation) (None, 14, 14, 160) 0 batch_normalization_110[0][0]
__________________________________________________________________________________________________
conv2d_108 (Conv2D) (None, 14, 14, 192) 208896 block17_8_ac[0][0]
__________________________________________________________________________________________________
conv2d_111 (Conv2D) (None, 14, 14, 192) 215040 activation_110[0][0]
__________________________________________________________________________________________________
batch_normalization_108 (BatchN (None, 14, 14, 192) 576 conv2d_108[0][0]
__________________________________________________________________________________________________
batch_normalization_111 (BatchN (None, 14, 14, 192) 576 conv2d_111[0][0]
__________________________________________________________________________________________________
activation_108 (Activation) (None, 14, 14, 192) 0 batch_normalization_108[0][0]
__________________________________________________________________________________________________
activation_111 (Activation) (None, 14, 14, 192) 0 batch_normalization_111[0][0]
__________________________________________________________________________________________________
block17_9_mixed (Concatenate) (None, 14, 14, 384) 0 activation_108[0][0]
activation_111[0][0]
__________________________________________________________________________________________________
block17_9_conv (Conv2D) (None, 14, 14, 1088) 418880 block17_9_mixed[0][0]
__________________________________________________________________________________________________
block17_9 (Lambda) (None, 14, 14, 1088) 0 block17_8_ac[0][0]
block17_9_conv[0][0]
__________________________________________________________________________________________________
block17_9_ac (Activation) (None, 14, 14, 1088) 0 block17_9[0][0]
__________________________________________________________________________________________________
conv2d_113 (Conv2D) (None, 14, 14, 128) 139264 block17_9_ac[0][0]
__________________________________________________________________________________________________
batch_normalization_113 (BatchN (None, 14, 14, 128) 384 conv2d_113[0][0]
__________________________________________________________________________________________________
activation_113 (Activation) (None, 14, 14, 128) 0 batch_normalization_113[0][0]
__________________________________________________________________________________________________
conv2d_114 (Conv2D) (None, 14, 14, 160) 143360 activation_113[0][0]
__________________________________________________________________________________________________
batch_normalization_114 (BatchN (None, 14, 14, 160) 480 conv2d_114[0][0]
__________________________________________________________________________________________________
activation_114 (Activation) (None, 14, 14, 160) 0 batch_normalization_114[0][0]
__________________________________________________________________________________________________
conv2d_112 (Conv2D) (None, 14, 14, 192) 208896 block17_9_ac[0][0]
__________________________________________________________________________________________________
conv2d_115 (Conv2D) (None, 14, 14, 192) 215040 activation_114[0][0]
__________________________________________________________________________________________________
batch_normalization_112 (BatchN (None, 14, 14, 192) 576 conv2d_112[0][0]
__________________________________________________________________________________________________
batch_normalization_115 (BatchN (None, 14, 14, 192) 576 conv2d_115[0][0]
__________________________________________________________________________________________________
activation_112 (Activation) (None, 14, 14, 192) 0 batch_normalization_112[0][0]
__________________________________________________________________________________________________
activation_115 (Activation) (None, 14, 14, 192) 0 batch_normalization_115[0][0]
__________________________________________________________________________________________________
block17_10_mixed (Concatenate) (None, 14, 14, 384) 0 activation_112[0][0]
activation_115[0][0]
__________________________________________________________________________________________________
block17_10_conv (Conv2D) (None, 14, 14, 1088) 418880 block17_10_mixed[0][0]
__________________________________________________________________________________________________
block17_10 (Lambda) (None, 14, 14, 1088) 0 block17_9_ac[0][0]
block17_10_conv[0][0]
__________________________________________________________________________________________________
block17_10_ac (Activation) (None, 14, 14, 1088) 0 block17_10[0][0]
__________________________________________________________________________________________________
conv2d_117 (Conv2D) (None, 14, 14, 128) 139264 block17_10_ac[0][0]
__________________________________________________________________________________________________
batch_normalization_117 (BatchN (None, 14, 14, 128) 384 conv2d_117[0][0]
__________________________________________________________________________________________________
activation_117 (Activation) (None, 14, 14, 128) 0 batch_normalization_117[0][0]
__________________________________________________________________________________________________
conv2d_118 (Conv2D) (None, 14, 14, 160) 143360 activation_117[0][0]
__________________________________________________________________________________________________
batch_normalization_118 (BatchN (None, 14, 14, 160) 480 conv2d_118[0][0]
__________________________________________________________________________________________________
activation_118 (Activation) (None, 14, 14, 160) 0 batch_normalization_118[0][0]
__________________________________________________________________________________________________
conv2d_116 (Conv2D) (None, 14, 14, 192) 208896 block17_10_ac[0][0]
__________________________________________________________________________________________________
conv2d_119 (Conv2D) (None, 14, 14, 192) 215040 activation_118[0][0]
__________________________________________________________________________________________________
batch_normalization_116 (BatchN (None, 14, 14, 192) 576 conv2d_116[0][0]
__________________________________________________________________________________________________
batch_normalization_119 (BatchN (None, 14, 14, 192) 576 conv2d_119[0][0]
__________________________________________________________________________________________________
activation_116 (Activation) (None, 14, 14, 192) 0 batch_normalization_116[0][0]
__________________________________________________________________________________________________
activation_119 (Activation) (None, 14, 14, 192) 0 batch_normalization_119[0][0]
__________________________________________________________________________________________________
block17_11_mixed (Concatenate) (None, 14, 14, 384) 0 activation_116[0][0]
activation_119[0][0]
__________________________________________________________________________________________________
block17_11_conv (Conv2D) (None, 14, 14, 1088) 418880 block17_11_mixed[0][0]
__________________________________________________________________________________________________
block17_11 (Lambda) (None, 14, 14, 1088) 0 block17_10_ac[0][0]
block17_11_conv[0][0]
__________________________________________________________________________________________________
block17_11_ac (Activation) (None, 14, 14, 1088) 0 block17_11[0][0]
__________________________________________________________________________________________________
conv2d_121 (Conv2D) (None, 14, 14, 128) 139264 block17_11_ac[0][0]
__________________________________________________________________________________________________
batch_normalization_121 (BatchN (None, 14, 14, 128) 384 conv2d_121[0][0]
__________________________________________________________________________________________________
activation_121 (Activation) (None, 14, 14, 128) 0 batch_normalization_121[0][0]
__________________________________________________________________________________________________
conv2d_122 (Conv2D) (None, 14, 14, 160) 143360 activation_121[0][0]
__________________________________________________________________________________________________
batch_normalization_122 (BatchN (None, 14, 14, 160) 480 conv2d_122[0][0]
__________________________________________________________________________________________________
activation_122 (Activation) (None, 14, 14, 160) 0 batch_normalization_122[0][0]
__________________________________________________________________________________________________
conv2d_120 (Conv2D) (None, 14, 14, 192) 208896 block17_11_ac[0][0]
__________________________________________________________________________________________________
conv2d_123 (Conv2D) (None, 14, 14, 192) 215040 activation_122[0][0]
__________________________________________________________________________________________________
batch_normalization_120 (BatchN (None, 14, 14, 192) 576 conv2d_120[0][0]
__________________________________________________________________________________________________
batch_normalization_123 (BatchN (None, 14, 14, 192) 576 conv2d_123[0][0]
__________________________________________________________________________________________________
activation_120 (Activation) (None, 14, 14, 192) 0 batch_normalization_120[0][0]
__________________________________________________________________________________________________
activation_123 (Activation) (None, 14, 14, 192) 0 batch_normalization_123[0][0]
__________________________________________________________________________________________________
block17_12_mixed (Concatenate) (None, 14, 14, 384) 0 activation_120[0][0]
activation_123[0][0]
__________________________________________________________________________________________________
block17_12_conv (Conv2D) (None, 14, 14, 1088) 418880 block17_12_mixed[0][0]
__________________________________________________________________________________________________
block17_12 (Lambda) (None, 14, 14, 1088) 0 block17_11_ac[0][0]
block17_12_conv[0][0]
__________________________________________________________________________________________________
block17_12_ac (Activation) (None, 14, 14, 1088) 0 block17_12[0][0]
__________________________________________________________________________________________________
conv2d_125 (Conv2D) (None, 14, 14, 128) 139264 block17_12_ac[0][0]
__________________________________________________________________________________________________
batch_normalization_125 (BatchN (None, 14, 14, 128) 384 conv2d_125[0][0]
__________________________________________________________________________________________________
activation_125 (Activation) (None, 14, 14, 128) 0 batch_normalization_125[0][0]
__________________________________________________________________________________________________
conv2d_126 (Conv2D) (None, 14, 14, 160) 143360 activation_125[0][0]
__________________________________________________________________________________________________
batch_normalization_126 (BatchN (None, 14, 14, 160) 480 conv2d_126[0][0]
__________________________________________________________________________________________________
activation_126 (Activation) (None, 14, 14, 160) 0 batch_normalization_126[0][0]
__________________________________________________________________________________________________
conv2d_124 (Conv2D) (None, 14, 14, 192) 208896 block17_12_ac[0][0]
__________________________________________________________________________________________________
conv2d_127 (Conv2D) (None, 14, 14, 192) 215040 activation_126[0][0]
__________________________________________________________________________________________________
batch_normalization_124 (BatchN (None, 14, 14, 192) 576 conv2d_124[0][0]
__________________________________________________________________________________________________
batch_normalization_127 (BatchN (None, 14, 14, 192) 576 conv2d_127[0][0]
__________________________________________________________________________________________________
activation_124 (Activation) (None, 14, 14, 192) 0 batch_normalization_124[0][0]
__________________________________________________________________________________________________
activation_127 (Activation) (None, 14, 14, 192) 0 batch_normalization_127[0][0]
__________________________________________________________________________________________________
block17_13_mixed (Concatenate) (None, 14, 14, 384) 0 activation_124[0][0]
activation_127[0][0]
__________________________________________________________________________________________________
block17_13_conv (Conv2D) (None, 14, 14, 1088) 418880 block17_13_mixed[0][0]
__________________________________________________________________________________________________
block17_13 (Lambda) (None, 14, 14, 1088) 0 block17_12_ac[0][0]
block17_13_conv[0][0]
__________________________________________________________________________________________________
block17_13_ac (Activation) (None, 14, 14, 1088) 0 block17_13[0][0]
__________________________________________________________________________________________________
conv2d_129 (Conv2D) (None, 14, 14, 128) 139264 block17_13_ac[0][0]
__________________________________________________________________________________________________
batch_normalization_129 (BatchN (None, 14, 14, 128) 384 conv2d_129[0][0]
__________________________________________________________________________________________________
activation_129 (Activation) (None, 14, 14, 128) 0 batch_normalization_129[0][0]
__________________________________________________________________________________________________
conv2d_130 (Conv2D) (None, 14, 14, 160) 143360 activation_129[0][0]
__________________________________________________________________________________________________
batch_normalization_130 (BatchN (None, 14, 14, 160) 480 conv2d_130[0][0]
__________________________________________________________________________________________________
activation_130 (Activation) (None, 14, 14, 160) 0 batch_normalization_130[0][0]
__________________________________________________________________________________________________
conv2d_128 (Conv2D) (None, 14, 14, 192) 208896 block17_13_ac[0][0]
__________________________________________________________________________________________________
conv2d_131 (Conv2D) (None, 14, 14, 192) 215040 activation_130[0][0]
__________________________________________________________________________________________________
batch_normalization_128 (BatchN (None, 14, 14, 192) 576 conv2d_128[0][0]
__________________________________________________________________________________________________
batch_normalization_131 (BatchN (None, 14, 14, 192) 576 conv2d_131[0][0]
__________________________________________________________________________________________________
activation_128 (Activation) (None, 14, 14, 192) 0 batch_normalization_128[0][0]
__________________________________________________________________________________________________
activation_131 (Activation) (None, 14, 14, 192) 0 batch_normalization_131[0][0]
__________________________________________________________________________________________________
block17_14_mixed (Concatenate) (None, 14, 14, 384) 0 activation_128[0][0]
activation_131[0][0]
__________________________________________________________________________________________________
block17_14_conv (Conv2D) (None, 14, 14, 1088) 418880 block17_14_mixed[0][0]
__________________________________________________________________________________________________
block17_14 (Lambda) (None, 14, 14, 1088) 0 block17_13_ac[0][0]
block17_14_conv[0][0]
__________________________________________________________________________________________________
block17_14_ac (Activation) (None, 14, 14, 1088) 0 block17_14[0][0]
__________________________________________________________________________________________________
conv2d_133 (Conv2D) (None, 14, 14, 128) 139264 block17_14_ac[0][0]
__________________________________________________________________________________________________
batch_normalization_133 (BatchN (None, 14, 14, 128) 384 conv2d_133[0][0]
__________________________________________________________________________________________________
activation_133 (Activation) (None, 14, 14, 128) 0 batch_normalization_133[0][0]
__________________________________________________________________________________________________
conv2d_134 (Conv2D) (None, 14, 14, 160) 143360 activation_133[0][0]
__________________________________________________________________________________________________
batch_normalization_134 (BatchN (None, 14, 14, 160) 480 conv2d_134[0][0]
__________________________________________________________________________________________________
activation_134 (Activation) (None, 14, 14, 160) 0 batch_normalization_134[0][0]
__________________________________________________________________________________________________
conv2d_132 (Conv2D) (None, 14, 14, 192) 208896 block17_14_ac[0][0]
__________________________________________________________________________________________________
conv2d_135 (Conv2D) (None, 14, 14, 192) 215040 activation_134[0][0]
__________________________________________________________________________________________________
batch_normalization_132 (BatchN (None, 14, 14, 192) 576 conv2d_132[0][0]
__________________________________________________________________________________________________
batch_normalization_135 (BatchN (None, 14, 14, 192) 576 conv2d_135[0][0]
__________________________________________________________________________________________________
activation_132 (Activation) (None, 14, 14, 192) 0 batch_normalization_132[0][0]
__________________________________________________________________________________________________
activation_135 (Activation) (None, 14, 14, 192) 0 batch_normalization_135[0][0]
__________________________________________________________________________________________________
block17_15_mixed (Concatenate) (None, 14, 14, 384) 0 activation_132[0][0]
activation_135[0][0]
__________________________________________________________________________________________________
block17_15_conv (Conv2D) (None, 14, 14, 1088) 418880 block17_15_mixed[0][0]
__________________________________________________________________________________________________
block17_15 (Lambda) (None, 14, 14, 1088) 0 block17_14_ac[0][0]
block17_15_conv[0][0]
__________________________________________________________________________________________________
block17_15_ac (Activation) (None, 14, 14, 1088) 0 block17_15[0][0]
__________________________________________________________________________________________________
conv2d_137 (Conv2D) (None, 14, 14, 128) 139264 block17_15_ac[0][0]
__________________________________________________________________________________________________
batch_normalization_137 (BatchN (None, 14, 14, 128) 384 conv2d_137[0][0]
__________________________________________________________________________________________________
activation_137 (Activation) (None, 14, 14, 128) 0 batch_normalization_137[0][0]
__________________________________________________________________________________________________
conv2d_138 (Conv2D) (None, 14, 14, 160) 143360 activation_137[0][0]
__________________________________________________________________________________________________
batch_normalization_138 (BatchN (None, 14, 14, 160) 480 conv2d_138[0][0]
__________________________________________________________________________________________________
activation_138 (Activation) (None, 14, 14, 160) 0 batch_normalization_138[0][0]
__________________________________________________________________________________________________
conv2d_136 (Conv2D) (None, 14, 14, 192) 208896 block17_15_ac[0][0]
__________________________________________________________________________________________________
conv2d_139 (Conv2D) (None, 14, 14, 192) 215040 activation_138[0][0]
__________________________________________________________________________________________________
batch_normalization_136 (BatchN (None, 14, 14, 192) 576 conv2d_136[0][0]
__________________________________________________________________________________________________
batch_normalization_139 (BatchN (None, 14, 14, 192) 576 conv2d_139[0][0]
__________________________________________________________________________________________________
activation_136 (Activation) (None, 14, 14, 192) 0 batch_normalization_136[0][0]
__________________________________________________________________________________________________
activation_139 (Activation) (None, 14, 14, 192) 0 batch_normalization_139[0][0]
__________________________________________________________________________________________________
block17_16_mixed (Concatenate) (None, 14, 14, 384) 0 activation_136[0][0]
activation_139[0][0]
__________________________________________________________________________________________________
block17_16_conv (Conv2D) (None, 14, 14, 1088) 418880 block17_16_mixed[0][0]
__________________________________________________________________________________________________
block17_16 (Lambda) (None, 14, 14, 1088) 0 block17_15_ac[0][0]
block17_16_conv[0][0]
__________________________________________________________________________________________________
block17_16_ac (Activation) (None, 14, 14, 1088) 0 block17_16[0][0]
__________________________________________________________________________________________________
conv2d_141 (Conv2D) (None, 14, 14, 128) 139264 block17_16_ac[0][0]
__________________________________________________________________________________________________
batch_normalization_141 (BatchN (None, 14, 14, 128) 384 conv2d_141[0][0]
__________________________________________________________________________________________________
activation_141 (Activation) (None, 14, 14, 128) 0 batch_normalization_141[0][0]
__________________________________________________________________________________________________
conv2d_142 (Conv2D) (None, 14, 14, 160) 143360 activation_141[0][0]
__________________________________________________________________________________________________
batch_normalization_142 (BatchN (None, 14, 14, 160) 480 conv2d_142[0][0]
__________________________________________________________________________________________________
activation_142 (Activation) (None, 14, 14, 160) 0 batch_normalization_142[0][0]
__________________________________________________________________________________________________
conv2d_140 (Conv2D) (None, 14, 14, 192) 208896 block17_16_ac[0][0]
__________________________________________________________________________________________________
conv2d_143 (Conv2D) (None, 14, 14, 192) 215040 activation_142[0][0]
__________________________________________________________________________________________________
batch_normalization_140 (BatchN (None, 14, 14, 192) 576 conv2d_140[0][0]
__________________________________________________________________________________________________
batch_normalization_143 (BatchN (None, 14, 14, 192) 576 conv2d_143[0][0]
__________________________________________________________________________________________________
activation_140 (Activation) (None, 14, 14, 192) 0 batch_normalization_140[0][0]
__________________________________________________________________________________________________
activation_143 (Activation) (None, 14, 14, 192) 0 batch_normalization_143[0][0]
__________________________________________________________________________________________________
block17_17_mixed (Concatenate) (None, 14, 14, 384) 0 activation_140[0][0]
activation_143[0][0]
__________________________________________________________________________________________________
block17_17_conv (Conv2D) (None, 14, 14, 1088) 418880 block17_17_mixed[0][0]
__________________________________________________________________________________________________
block17_17 (Lambda) (None, 14, 14, 1088) 0 block17_16_ac[0][0]
block17_17_conv[0][0]
__________________________________________________________________________________________________
block17_17_ac (Activation) (None, 14, 14, 1088) 0 block17_17[0][0]
__________________________________________________________________________________________________
conv2d_145 (Conv2D) (None, 14, 14, 128) 139264 block17_17_ac[0][0]
__________________________________________________________________________________________________
batch_normalization_145 (BatchN (None, 14, 14, 128) 384 conv2d_145[0][0]
__________________________________________________________________________________________________
activation_145 (Activation) (None, 14, 14, 128) 0 batch_normalization_145[0][0]
__________________________________________________________________________________________________
conv2d_146 (Conv2D) (None, 14, 14, 160) 143360 activation_145[0][0]
__________________________________________________________________________________________________
batch_normalization_146 (BatchN (None, 14, 14, 160) 480 conv2d_146[0][0]
__________________________________________________________________________________________________
activation_146 (Activation) (None, 14, 14, 160) 0 batch_normalization_146[0][0]
__________________________________________________________________________________________________
conv2d_144 (Conv2D) (None, 14, 14, 192) 208896 block17_17_ac[0][0]
__________________________________________________________________________________________________
conv2d_147 (Conv2D) (None, 14, 14, 192) 215040 activation_146[0][0]
__________________________________________________________________________________________________
batch_normalization_144 (BatchN (None, 14, 14, 192) 576 conv2d_144[0][0]
__________________________________________________________________________________________________
batch_normalization_147 (BatchN (None, 14, 14, 192) 576 conv2d_147[0][0]
__________________________________________________________________________________________________
activation_144 (Activation) (None, 14, 14, 192) 0 batch_normalization_144[0][0]
__________________________________________________________________________________________________
activation_147 (Activation) (None, 14, 14, 192) 0 batch_normalization_147[0][0]
__________________________________________________________________________________________________
block17_18_mixed (Concatenate) (None, 14, 14, 384) 0 activation_144[0][0]
activation_147[0][0]
__________________________________________________________________________________________________
block17_18_conv (Conv2D) (None, 14, 14, 1088) 418880 block17_18_mixed[0][0]
__________________________________________________________________________________________________
block17_18 (Lambda) (None, 14, 14, 1088) 0 block17_17_ac[0][0]
block17_18_conv[0][0]
__________________________________________________________________________________________________
block17_18_ac (Activation) (None, 14, 14, 1088) 0 block17_18[0][0]
__________________________________________________________________________________________________
conv2d_149 (Conv2D) (None, 14, 14, 128) 139264 block17_18_ac[0][0]
__________________________________________________________________________________________________
batch_normalization_149 (BatchN (None, 14, 14, 128) 384 conv2d_149[0][0]
__________________________________________________________________________________________________
activation_149 (Activation) (None, 14, 14, 128) 0 batch_normalization_149[0][0]
__________________________________________________________________________________________________
conv2d_150 (Conv2D) (None, 14, 14, 160) 143360 activation_149[0][0]
__________________________________________________________________________________________________
batch_normalization_150 (BatchN (None, 14, 14, 160) 480 conv2d_150[0][0]
__________________________________________________________________________________________________
activation_150 (Activation) (None, 14, 14, 160) 0 batch_normalization_150[0][0]
__________________________________________________________________________________________________
conv2d_148 (Conv2D) (None, 14, 14, 192) 208896 block17_18_ac[0][0]
__________________________________________________________________________________________________
conv2d_151 (Conv2D) (None, 14, 14, 192) 215040 activation_150[0][0]
__________________________________________________________________________________________________
batch_normalization_148 (BatchN (None, 14, 14, 192) 576 conv2d_148[0][0]
__________________________________________________________________________________________________
batch_normalization_151 (BatchN (None, 14, 14, 192) 576 conv2d_151[0][0]
__________________________________________________________________________________________________
activation_148 (Activation) (None, 14, 14, 192) 0 batch_normalization_148[0][0]
__________________________________________________________________________________________________
activation_151 (Activation) (None, 14, 14, 192) 0 batch_normalization_151[0][0]
__________________________________________________________________________________________________
block17_19_mixed (Concatenate) (None, 14, 14, 384) 0 activation_148[0][0]
activation_151[0][0]
__________________________________________________________________________________________________
block17_19_conv (Conv2D) (None, 14, 14, 1088) 418880 block17_19_mixed[0][0]
__________________________________________________________________________________________________
block17_19 (Lambda) (None, 14, 14, 1088) 0 block17_18_ac[0][0]
block17_19_conv[0][0]
__________________________________________________________________________________________________
block17_19_ac (Activation) (None, 14, 14, 1088) 0 block17_19[0][0]
__________________________________________________________________________________________________
conv2d_153 (Conv2D) (None, 14, 14, 128) 139264 block17_19_ac[0][0]
__________________________________________________________________________________________________
batch_normalization_153 (BatchN (None, 14, 14, 128) 384 conv2d_153[0][0]
__________________________________________________________________________________________________
activation_153 (Activation) (None, 14, 14, 128) 0 batch_normalization_153[0][0]
__________________________________________________________________________________________________
conv2d_154 (Conv2D) (None, 14, 14, 160) 143360 activation_153[0][0]
__________________________________________________________________________________________________
batch_normalization_154 (BatchN (None, 14, 14, 160) 480 conv2d_154[0][0]
__________________________________________________________________________________________________
activation_154 (Activation) (None, 14, 14, 160) 0 batch_normalization_154[0][0]
__________________________________________________________________________________________________
conv2d_152 (Conv2D) (None, 14, 14, 192) 208896 block17_19_ac[0][0]
__________________________________________________________________________________________________
conv2d_155 (Conv2D) (None, 14, 14, 192) 215040 activation_154[0][0]
__________________________________________________________________________________________________
batch_normalization_152 (BatchN (None, 14, 14, 192) 576 conv2d_152[0][0]
__________________________________________________________________________________________________
batch_normalization_155 (BatchN (None, 14, 14, 192) 576 conv2d_155[0][0]
__________________________________________________________________________________________________
activation_152 (Activation) (None, 14, 14, 192) 0 batch_normalization_152[0][0]
__________________________________________________________________________________________________
activation_155 (Activation) (None, 14, 14, 192) 0 batch_normalization_155[0][0]
__________________________________________________________________________________________________
block17_20_mixed (Concatenate) (None, 14, 14, 384) 0 activation_152[0][0]
activation_155[0][0]
__________________________________________________________________________________________________
block17_20_conv (Conv2D) (None, 14, 14, 1088) 418880 block17_20_mixed[0][0]
__________________________________________________________________________________________________
block17_20 (Lambda) (None, 14, 14, 1088) 0 block17_19_ac[0][0]
block17_20_conv[0][0]
__________________________________________________________________________________________________
block17_20_ac (Activation) (None, 14, 14, 1088) 0 block17_20[0][0]
__________________________________________________________________________________________________
conv2d_160 (Conv2D) (None, 14, 14, 256) 278528 block17_20_ac[0][0]
__________________________________________________________________________________________________
batch_normalization_160 (BatchN (None, 14, 14, 256) 768 conv2d_160[0][0]
__________________________________________________________________________________________________
activation_160 (Activation) (None, 14, 14, 256) 0 batch_normalization_160[0][0]
__________________________________________________________________________________________________
conv2d_156 (Conv2D) (None, 14, 14, 256) 278528 block17_20_ac[0][0]
__________________________________________________________________________________________________
conv2d_158 (Conv2D) (None, 14, 14, 256) 278528 block17_20_ac[0][0]
__________________________________________________________________________________________________
conv2d_161 (Conv2D) (None, 14, 14, 288) 663552 activation_160[0][0]
__________________________________________________________________________________________________
batch_normalization_156 (BatchN (None, 14, 14, 256) 768 conv2d_156[0][0]
__________________________________________________________________________________________________
batch_normalization_158 (BatchN (None, 14, 14, 256) 768 conv2d_158[0][0]
__________________________________________________________________________________________________
batch_normalization_161 (BatchN (None, 14, 14, 288) 864 conv2d_161[0][0]
__________________________________________________________________________________________________
activation_156 (Activation) (None, 14, 14, 256) 0 batch_normalization_156[0][0]
__________________________________________________________________________________________________
activation_158 (Activation) (None, 14, 14, 256) 0 batch_normalization_158[0][0]
__________________________________________________________________________________________________
activation_161 (Activation) (None, 14, 14, 288) 0 batch_normalization_161[0][0]
__________________________________________________________________________________________________
conv2d_157 (Conv2D) (None, 6, 6, 384) 884736 activation_156[0][0]
__________________________________________________________________________________________________
conv2d_159 (Conv2D) (None, 6, 6, 288) 663552 activation_158[0][0]
__________________________________________________________________________________________________
conv2d_162 (Conv2D) (None, 6, 6, 320) 829440 activation_161[0][0]
__________________________________________________________________________________________________
batch_normalization_157 (BatchN (None, 6, 6, 384) 1152 conv2d_157[0][0]
__________________________________________________________________________________________________
batch_normalization_159 (BatchN (None, 6, 6, 288) 864 conv2d_159[0][0]
__________________________________________________________________________________________________
batch_normalization_162 (BatchN (None, 6, 6, 320) 960 conv2d_162[0][0]
__________________________________________________________________________________________________
activation_157 (Activation) (None, 6, 6, 384) 0 batch_normalization_157[0][0]
__________________________________________________________________________________________________
activation_159 (Activation) (None, 6, 6, 288) 0 batch_normalization_159[0][0]
__________________________________________________________________________________________________
activation_162 (Activation) (None, 6, 6, 320) 0 batch_normalization_162[0][0]
__________________________________________________________________________________________________
max_pooling2d_3 (MaxPooling2D) (None, 6, 6, 1088) 0 block17_20_ac[0][0]
__________________________________________________________________________________________________
mixed_7a (Concatenate) (None, 6, 6, 2080) 0 activation_157[0][0]
activation_159[0][0]
activation_162[0][0]
max_pooling2d_3[0][0]
__________________________________________________________________________________________________
conv2d_164 (Conv2D) (None, 6, 6, 192) 399360 mixed_7a[0][0]
__________________________________________________________________________________________________
batch_normalization_164 (BatchN (None, 6, 6, 192) 576 conv2d_164[0][0]
__________________________________________________________________________________________________
activation_164 (Activation) (None, 6, 6, 192) 0 batch_normalization_164[0][0]
__________________________________________________________________________________________________
conv2d_165 (Conv2D) (None, 6, 6, 224) 129024 activation_164[0][0]
__________________________________________________________________________________________________
batch_normalization_165 (BatchN (None, 6, 6, 224) 672 conv2d_165[0][0]
__________________________________________________________________________________________________
activation_165 (Activation) (None, 6, 6, 224) 0 batch_normalization_165[0][0]
__________________________________________________________________________________________________
conv2d_163 (Conv2D) (None, 6, 6, 192) 399360 mixed_7a[0][0]
__________________________________________________________________________________________________
conv2d_166 (Conv2D) (None, 6, 6, 256) 172032 activation_165[0][0]
__________________________________________________________________________________________________
batch_normalization_163 (BatchN (None, 6, 6, 192) 576 conv2d_163[0][0]
__________________________________________________________________________________________________
batch_normalization_166 (BatchN (None, 6, 6, 256) 768 conv2d_166[0][0]
__________________________________________________________________________________________________
activation_163 (Activation) (None, 6, 6, 192) 0 batch_normalization_163[0][0]
__________________________________________________________________________________________________
activation_166 (Activation) (None, 6, 6, 256) 0 batch_normalization_166[0][0]
__________________________________________________________________________________________________
block8_1_mixed (Concatenate) (None, 6, 6, 448) 0 activation_163[0][0]
activation_166[0][0]
__________________________________________________________________________________________________
block8_1_conv (Conv2D) (None, 6, 6, 2080) 933920 block8_1_mixed[0][0]
__________________________________________________________________________________________________
block8_1 (Lambda) (None, 6, 6, 2080) 0 mixed_7a[0][0]
block8_1_conv[0][0]
__________________________________________________________________________________________________
block8_1_ac (Activation) (None, 6, 6, 2080) 0 block8_1[0][0]
__________________________________________________________________________________________________
conv2d_168 (Conv2D) (None, 6, 6, 192) 399360 block8_1_ac[0][0]
__________________________________________________________________________________________________
batch_normalization_168 (BatchN (None, 6, 6, 192) 576 conv2d_168[0][0]
__________________________________________________________________________________________________
activation_168 (Activation) (None, 6, 6, 192) 0 batch_normalization_168[0][0]
__________________________________________________________________________________________________
conv2d_169 (Conv2D) (None, 6, 6, 224) 129024 activation_168[0][0]
__________________________________________________________________________________________________
batch_normalization_169 (BatchN (None, 6, 6, 224) 672 conv2d_169[0][0]
__________________________________________________________________________________________________
activation_169 (Activation) (None, 6, 6, 224) 0 batch_normalization_169[0][0]
__________________________________________________________________________________________________
conv2d_167 (Conv2D) (None, 6, 6, 192) 399360 block8_1_ac[0][0]
__________________________________________________________________________________________________
conv2d_170 (Conv2D) (None, 6, 6, 256) 172032 activation_169[0][0]
__________________________________________________________________________________________________
batch_normalization_167 (BatchN (None, 6, 6, 192) 576 conv2d_167[0][0]
__________________________________________________________________________________________________
batch_normalization_170 (BatchN (None, 6, 6, 256) 768 conv2d_170[0][0]
__________________________________________________________________________________________________
activation_167 (Activation) (None, 6, 6, 192) 0 batch_normalization_167[0][0]
__________________________________________________________________________________________________
activation_170 (Activation) (None, 6, 6, 256) 0 batch_normalization_170[0][0]
__________________________________________________________________________________________________
block8_2_mixed (Concatenate) (None, 6, 6, 448) 0 activation_167[0][0]
activation_170[0][0]
__________________________________________________________________________________________________
block8_2_conv (Conv2D) (None, 6, 6, 2080) 933920 block8_2_mixed[0][0]
__________________________________________________________________________________________________
block8_2 (Lambda) (None, 6, 6, 2080) 0 block8_1_ac[0][0]
block8_2_conv[0][0]
__________________________________________________________________________________________________
block8_2_ac (Activation) (None, 6, 6, 2080) 0 block8_2[0][0]
__________________________________________________________________________________________________
conv2d_172 (Conv2D) (None, 6, 6, 192) 399360 block8_2_ac[0][0]
__________________________________________________________________________________________________
batch_normalization_172 (BatchN (None, 6, 6, 192) 576 conv2d_172[0][0]
__________________________________________________________________________________________________
activation_172 (Activation) (None, 6, 6, 192) 0 batch_normalization_172[0][0]
__________________________________________________________________________________________________
conv2d_173 (Conv2D) (None, 6, 6, 224) 129024 activation_172[0][0]
__________________________________________________________________________________________________
batch_normalization_173 (BatchN (None, 6, 6, 224) 672 conv2d_173[0][0]
__________________________________________________________________________________________________
activation_173 (Activation) (None, 6, 6, 224) 0 batch_normalization_173[0][0]
__________________________________________________________________________________________________
conv2d_171 (Conv2D) (None, 6, 6, 192) 399360 block8_2_ac[0][0]
__________________________________________________________________________________________________
conv2d_174 (Conv2D) (None, 6, 6, 256) 172032 activation_173[0][0]
__________________________________________________________________________________________________
batch_normalization_171 (BatchN (None, 6, 6, 192) 576 conv2d_171[0][0]
__________________________________________________________________________________________________
batch_normalization_174 (BatchN (None, 6, 6, 256) 768 conv2d_174[0][0]
__________________________________________________________________________________________________
activation_171 (Activation) (None, 6, 6, 192) 0 batch_normalization_171[0][0]
__________________________________________________________________________________________________
activation_174 (Activation) (None, 6, 6, 256) 0 batch_normalization_174[0][0]
__________________________________________________________________________________________________
block8_3_mixed (Concatenate) (None, 6, 6, 448) 0 activation_171[0][0]
activation_174[0][0]
__________________________________________________________________________________________________
block8_3_conv (Conv2D) (None, 6, 6, 2080) 933920 block8_3_mixed[0][0]
__________________________________________________________________________________________________
block8_3 (Lambda) (None, 6, 6, 2080) 0 block8_2_ac[0][0]
block8_3_conv[0][0]
__________________________________________________________________________________________________
block8_3_ac (Activation) (None, 6, 6, 2080) 0 block8_3[0][0]
__________________________________________________________________________________________________
conv2d_176 (Conv2D) (None, 6, 6, 192) 399360 block8_3_ac[0][0]
__________________________________________________________________________________________________
batch_normalization_176 (BatchN (None, 6, 6, 192) 576 conv2d_176[0][0]
__________________________________________________________________________________________________
activation_176 (Activation) (None, 6, 6, 192) 0 batch_normalization_176[0][0]
__________________________________________________________________________________________________
conv2d_177 (Conv2D) (None, 6, 6, 224) 129024 activation_176[0][0]
__________________________________________________________________________________________________
batch_normalization_177 (BatchN (None, 6, 6, 224) 672 conv2d_177[0][0]
__________________________________________________________________________________________________
activation_177 (Activation) (None, 6, 6, 224) 0 batch_normalization_177[0][0]
__________________________________________________________________________________________________
conv2d_175 (Conv2D) (None, 6, 6, 192) 399360 block8_3_ac[0][0]
__________________________________________________________________________________________________
conv2d_178 (Conv2D) (None, 6, 6, 256) 172032 activation_177[0][0]
__________________________________________________________________________________________________
batch_normalization_175 (BatchN (None, 6, 6, 192) 576 conv2d_175[0][0]
__________________________________________________________________________________________________
batch_normalization_178 (BatchN (None, 6, 6, 256) 768 conv2d_178[0][0]
__________________________________________________________________________________________________
activation_175 (Activation) (None, 6, 6, 192) 0 batch_normalization_175[0][0]
__________________________________________________________________________________________________
activation_178 (Activation) (None, 6, 6, 256) 0 batch_normalization_178[0][0]
__________________________________________________________________________________________________
block8_4_mixed (Concatenate) (None, 6, 6, 448) 0 activation_175[0][0]
activation_178[0][0]
__________________________________________________________________________________________________
block8_4_conv (Conv2D) (None, 6, 6, 2080) 933920 block8_4_mixed[0][0]
__________________________________________________________________________________________________
block8_4 (Lambda) (None, 6, 6, 2080) 0 block8_3_ac[0][0]
block8_4_conv[0][0]
__________________________________________________________________________________________________
block8_4_ac (Activation) (None, 6, 6, 2080) 0 block8_4[0][0]
__________________________________________________________________________________________________
conv2d_180 (Conv2D) (None, 6, 6, 192) 399360 block8_4_ac[0][0]
__________________________________________________________________________________________________
batch_normalization_180 (BatchN (None, 6, 6, 192) 576 conv2d_180[0][0]
__________________________________________________________________________________________________
activation_180 (Activation) (None, 6, 6, 192) 0 batch_normalization_180[0][0]
__________________________________________________________________________________________________
conv2d_181 (Conv2D) (None, 6, 6, 224) 129024 activation_180[0][0]
__________________________________________________________________________________________________
batch_normalization_181 (BatchN (None, 6, 6, 224) 672 conv2d_181[0][0]
__________________________________________________________________________________________________
activation_181 (Activation) (None, 6, 6, 224) 0 batch_normalization_181[0][0]
__________________________________________________________________________________________________
conv2d_179 (Conv2D) (None, 6, 6, 192) 399360 block8_4_ac[0][0]
__________________________________________________________________________________________________
conv2d_182 (Conv2D) (None, 6, 6, 256) 172032 activation_181[0][0]
__________________________________________________________________________________________________
batch_normalization_179 (BatchN (None, 6, 6, 192) 576 conv2d_179[0][0]
__________________________________________________________________________________________________
batch_normalization_182 (BatchN (None, 6, 6, 256) 768 conv2d_182[0][0]
__________________________________________________________________________________________________
activation_179 (Activation) (None, 6, 6, 192) 0 batch_normalization_179[0][0]
__________________________________________________________________________________________________
activation_182 (Activation) (None, 6, 6, 256) 0 batch_normalization_182[0][0]
__________________________________________________________________________________________________
block8_5_mixed (Concatenate) (None, 6, 6, 448) 0 activation_179[0][0]
activation_182[0][0]
__________________________________________________________________________________________________
block8_5_conv (Conv2D) (None, 6, 6, 2080) 933920 block8_5_mixed[0][0]
__________________________________________________________________________________________________
block8_5 (Lambda) (None, 6, 6, 2080) 0 block8_4_ac[0][0]
block8_5_conv[0][0]
__________________________________________________________________________________________________
block8_5_ac (Activation) (None, 6, 6, 2080) 0 block8_5[0][0]
__________________________________________________________________________________________________
conv2d_184 (Conv2D) (None, 6, 6, 192) 399360 block8_5_ac[0][0]
__________________________________________________________________________________________________
batch_normalization_184 (BatchN (None, 6, 6, 192) 576 conv2d_184[0][0]
__________________________________________________________________________________________________
activation_184 (Activation) (None, 6, 6, 192) 0 batch_normalization_184[0][0]
__________________________________________________________________________________________________
conv2d_185 (Conv2D) (None, 6, 6, 224) 129024 activation_184[0][0]
__________________________________________________________________________________________________
batch_normalization_185 (BatchN (None, 6, 6, 224) 672 conv2d_185[0][0]
__________________________________________________________________________________________________
activation_185 (Activation) (None, 6, 6, 224) 0 batch_normalization_185[0][0]
__________________________________________________________________________________________________
conv2d_183 (Conv2D) (None, 6, 6, 192) 399360 block8_5_ac[0][0]
__________________________________________________________________________________________________
conv2d_186 (Conv2D) (None, 6, 6, 256) 172032 activation_185[0][0]
__________________________________________________________________________________________________
batch_normalization_183 (BatchN (None, 6, 6, 192) 576 conv2d_183[0][0]
__________________________________________________________________________________________________
batch_normalization_186 (BatchN (None, 6, 6, 256) 768 conv2d_186[0][0]
__________________________________________________________________________________________________
activation_183 (Activation) (None, 6, 6, 192) 0 batch_normalization_183[0][0]
__________________________________________________________________________________________________
activation_186 (Activation) (None, 6, 6, 256) 0 batch_normalization_186[0][0]
__________________________________________________________________________________________________
block8_6_mixed (Concatenate) (None, 6, 6, 448) 0 activation_183[0][0]
activation_186[0][0]
__________________________________________________________________________________________________
block8_6_conv (Conv2D) (None, 6, 6, 2080) 933920 block8_6_mixed[0][0]
__________________________________________________________________________________________________
block8_6 (Lambda) (None, 6, 6, 2080) 0 block8_5_ac[0][0]
block8_6_conv[0][0]
__________________________________________________________________________________________________
block8_6_ac (Activation) (None, 6, 6, 2080) 0 block8_6[0][0]
__________________________________________________________________________________________________
conv2d_188 (Conv2D) (None, 6, 6, 192) 399360 block8_6_ac[0][0]
__________________________________________________________________________________________________
batch_normalization_188 (BatchN (None, 6, 6, 192) 576 conv2d_188[0][0]
__________________________________________________________________________________________________
activation_188 (Activation) (None, 6, 6, 192) 0 batch_normalization_188[0][0]
__________________________________________________________________________________________________
conv2d_189 (Conv2D) (None, 6, 6, 224) 129024 activation_188[0][0]
__________________________________________________________________________________________________
batch_normalization_189 (BatchN (None, 6, 6, 224) 672 conv2d_189[0][0]
__________________________________________________________________________________________________
activation_189 (Activation) (None, 6, 6, 224) 0 batch_normalization_189[0][0]
__________________________________________________________________________________________________
conv2d_187 (Conv2D) (None, 6, 6, 192) 399360 block8_6_ac[0][0]
__________________________________________________________________________________________________
conv2d_190 (Conv2D) (None, 6, 6, 256) 172032 activation_189[0][0]
__________________________________________________________________________________________________
batch_normalization_187 (BatchN (None, 6, 6, 192) 576 conv2d_187[0][0]
__________________________________________________________________________________________________
batch_normalization_190 (BatchN (None, 6, 6, 256) 768 conv2d_190[0][0]
__________________________________________________________________________________________________
activation_187 (Activation) (None, 6, 6, 192) 0 batch_normalization_187[0][0]
__________________________________________________________________________________________________
activation_190 (Activation) (None, 6, 6, 256) 0 batch_normalization_190[0][0]
__________________________________________________________________________________________________
block8_7_mixed (Concatenate) (None, 6, 6, 448) 0 activation_187[0][0]
activation_190[0][0]
__________________________________________________________________________________________________
block8_7_conv (Conv2D) (None, 6, 6, 2080) 933920 block8_7_mixed[0][0]
__________________________________________________________________________________________________
block8_7 (Lambda) (None, 6, 6, 2080) 0 block8_6_ac[0][0]
block8_7_conv[0][0]
__________________________________________________________________________________________________
block8_7_ac (Activation) (None, 6, 6, 2080) 0 block8_7[0][0]
__________________________________________________________________________________________________
conv2d_192 (Conv2D) (None, 6, 6, 192) 399360 block8_7_ac[0][0]
__________________________________________________________________________________________________
batch_normalization_192 (BatchN (None, 6, 6, 192) 576 conv2d_192[0][0]
__________________________________________________________________________________________________
activation_192 (Activation) (None, 6, 6, 192) 0 batch_normalization_192[0][0]
__________________________________________________________________________________________________
conv2d_193 (Conv2D) (None, 6, 6, 224) 129024 activation_192[0][0]
__________________________________________________________________________________________________
batch_normalization_193 (BatchN (None, 6, 6, 224) 672 conv2d_193[0][0]
__________________________________________________________________________________________________
activation_193 (Activation) (None, 6, 6, 224) 0 batch_normalization_193[0][0]
__________________________________________________________________________________________________
conv2d_191 (Conv2D) (None, 6, 6, 192) 399360 block8_7_ac[0][0]
__________________________________________________________________________________________________
conv2d_194 (Conv2D) (None, 6, 6, 256) 172032 activation_193[0][0]
__________________________________________________________________________________________________
batch_normalization_191 (BatchN (None, 6, 6, 192) 576 conv2d_191[0][0]
__________________________________________________________________________________________________
batch_normalization_194 (BatchN (None, 6, 6, 256) 768 conv2d_194[0][0]
__________________________________________________________________________________________________
activation_191 (Activation) (None, 6, 6, 192) 0 batch_normalization_191[0][0]
__________________________________________________________________________________________________
activation_194 (Activation) (None, 6, 6, 256) 0 batch_normalization_194[0][0]
__________________________________________________________________________________________________
block8_8_mixed (Concatenate) (None, 6, 6, 448) 0 activation_191[0][0]
activation_194[0][0]
__________________________________________________________________________________________________
block8_8_conv (Conv2D) (None, 6, 6, 2080) 933920 block8_8_mixed[0][0]
__________________________________________________________________________________________________
block8_8 (Lambda) (None, 6, 6, 2080) 0 block8_7_ac[0][0]
block8_8_conv[0][0]
__________________________________________________________________________________________________
block8_8_ac (Activation) (None, 6, 6, 2080) 0 block8_8[0][0]
__________________________________________________________________________________________________
conv2d_196 (Conv2D) (None, 6, 6, 192) 399360 block8_8_ac[0][0]
__________________________________________________________________________________________________
batch_normalization_196 (BatchN (None, 6, 6, 192) 576 conv2d_196[0][0]
__________________________________________________________________________________________________
activation_196 (Activation) (None, 6, 6, 192) 0 batch_normalization_196[0][0]
__________________________________________________________________________________________________
conv2d_197 (Conv2D) (None, 6, 6, 224) 129024 activation_196[0][0]
__________________________________________________________________________________________________
batch_normalization_197 (BatchN (None, 6, 6, 224) 672 conv2d_197[0][0]
__________________________________________________________________________________________________
activation_197 (Activation) (None, 6, 6, 224) 0 batch_normalization_197[0][0]
__________________________________________________________________________________________________
conv2d_195 (Conv2D) (None, 6, 6, 192) 399360 block8_8_ac[0][0]
__________________________________________________________________________________________________
conv2d_198 (Conv2D) (None, 6, 6, 256) 172032 activation_197[0][0]
__________________________________________________________________________________________________
batch_normalization_195 (BatchN (None, 6, 6, 192) 576 conv2d_195[0][0]
__________________________________________________________________________________________________
batch_normalization_198 (BatchN (None, 6, 6, 256) 768 conv2d_198[0][0]
__________________________________________________________________________________________________
activation_195 (Activation) (None, 6, 6, 192) 0 batch_normalization_195[0][0]
__________________________________________________________________________________________________
activation_198 (Activation) (None, 6, 6, 256) 0 batch_normalization_198[0][0]
__________________________________________________________________________________________________
block8_9_mixed (Concatenate) (None, 6, 6, 448) 0 activation_195[0][0]
activation_198[0][0]
__________________________________________________________________________________________________
block8_9_conv (Conv2D) (None, 6, 6, 2080) 933920 block8_9_mixed[0][0]
__________________________________________________________________________________________________
block8_9 (Lambda) (None, 6, 6, 2080) 0 block8_8_ac[0][0]
block8_9_conv[0][0]
__________________________________________________________________________________________________
block8_9_ac (Activation) (None, 6, 6, 2080) 0 block8_9[0][0]
__________________________________________________________________________________________________
conv2d_200 (Conv2D) (None, 6, 6, 192) 399360 block8_9_ac[0][0]
__________________________________________________________________________________________________
batch_normalization_200 (BatchN (None, 6, 6, 192) 576 conv2d_200[0][0]
__________________________________________________________________________________________________
activation_200 (Activation) (None, 6, 6, 192) 0 batch_normalization_200[0][0]
__________________________________________________________________________________________________
conv2d_201 (Conv2D) (None, 6, 6, 224) 129024 activation_200[0][0]
__________________________________________________________________________________________________
batch_normalization_201 (BatchN (None, 6, 6, 224) 672 conv2d_201[0][0]
__________________________________________________________________________________________________
activation_201 (Activation) (None, 6, 6, 224) 0 batch_normalization_201[0][0]
__________________________________________________________________________________________________
conv2d_199 (Conv2D) (None, 6, 6, 192) 399360 block8_9_ac[0][0]
__________________________________________________________________________________________________
conv2d_202 (Conv2D) (None, 6, 6, 256) 172032 activation_201[0][0]
__________________________________________________________________________________________________
batch_normalization_199 (BatchN (None, 6, 6, 192) 576 conv2d_199[0][0]
__________________________________________________________________________________________________
batch_normalization_202 (BatchN (None, 6, 6, 256) 768 conv2d_202[0][0]
__________________________________________________________________________________________________
activation_199 (Activation) (None, 6, 6, 192) 0 batch_normalization_199[0][0]
__________________________________________________________________________________________________
activation_202 (Activation) (None, 6, 6, 256) 0 batch_normalization_202[0][0]
__________________________________________________________________________________________________
block8_10_mixed (Concatenate) (None, 6, 6, 448) 0 activation_199[0][0]
activation_202[0][0]
__________________________________________________________________________________________________
block8_10_conv (Conv2D) (None, 6, 6, 2080) 933920 block8_10_mixed[0][0]
__________________________________________________________________________________________________
block8_10 (Lambda) (None, 6, 6, 2080) 0 block8_9_ac[0][0]
block8_10_conv[0][0]
__________________________________________________________________________________________________
conv_7b (Conv2D) (None, 6, 6, 1536) 3194880 block8_10[0][0]
__________________________________________________________________________________________________
conv_7b_bn (BatchNormalization) (None, 6, 6, 1536) 4608 conv_7b[0][0]
__________________________________________________________________________________________________
conv_7b_ac (Activation) (None, 6, 6, 1536) 0 conv_7b_bn[0][0]
==================================================================================================
Total params: 54,336,736
Trainable params: 54,276,192
Non-trainable params: 60,544
__________________________________________________________________________________________________
In [18]:
# Freeze the basemodel weights , so these weights won't change during training
basemodel.trainable = False
In [19]:
# Add classification head to the model
headmodel = basemodel.output
# Convolutional layer
headmodel = GlobalAveragePooling2D(name = 'global_average_pool')(headmodel)
# flattening layer
headmodel = Flatten(name = 'flatten')(headmodel)
# Dense layer
headmodel = Dense(256, activation = 'relu', name = 'dense_1')(headmodel)
# Dropout for regularization
headmodel = Dropout(0.3)(headmodel)
# Dense layer
headmodel = Dense(128, activation = 'relu', name = 'dense_2')(headmodel)
# Dropout for regularization
headmodel = Dropout(0.3)(headmodel)
# Last layer
headmodel = Dense(11, activation = 'softmax', name = 'dense_3')(headmodel)
# Model architecture
model = Model(inputs = basemodel.input, outputs = headmodel)
In [20]:
# Comple the model
model.compile(loss = 'categorical_crossentropy', optimizer = SGD(lr = 0.1, momentum = 0.9), metrics = ['accuracy'])
In [21]:
# # Using early stopping to exit training if validation loss is not decreasing even after certain epochs (patience)
# earlystopping = EarlyStopping(monitor='val_loss', mode='min', verbose=1, patience=20)
# # Save the best model with lower validation loss
# checkpointer = ModelCheckpoint(filepath="weights.hdf5", verbose=1, save_best_only=True)
In [22]:
# This will take endless time to train, I already have pre-trained model for this
# # Fit the model
# history = model.fit(train_generator, steps_per_epoch = train_generator.n // 32, epochs = 1, validation_data = validation_generator, validation_steps = validation_generator.n // 32, callbacks = [checkpointer, earlystopping])
Fine Tuned The Trained Model¶
In [23]:
# Unfreeze the weights in the base model, now these weights will be changed during training
basemodel.trainable = True
In [24]:
# Check model summary
model.summary()
Model: "model"
__________________________________________________________________________________________________
Layer (type) Output Shape Param # Connected to
==================================================================================================
input_1 (InputLayer) [(None, 256, 256, 3) 0
__________________________________________________________________________________________________
conv2d (Conv2D) (None, 127, 127, 32) 864 input_1[0][0]
__________________________________________________________________________________________________
batch_normalization (BatchNorma (None, 127, 127, 32) 96 conv2d[0][0]
__________________________________________________________________________________________________
activation (Activation) (None, 127, 127, 32) 0 batch_normalization[0][0]
__________________________________________________________________________________________________
conv2d_1 (Conv2D) (None, 125, 125, 32) 9216 activation[0][0]
__________________________________________________________________________________________________
batch_normalization_1 (BatchNor (None, 125, 125, 32) 96 conv2d_1[0][0]
__________________________________________________________________________________________________
activation_1 (Activation) (None, 125, 125, 32) 0 batch_normalization_1[0][0]
__________________________________________________________________________________________________
conv2d_2 (Conv2D) (None, 125, 125, 64) 18432 activation_1[0][0]
__________________________________________________________________________________________________
batch_normalization_2 (BatchNor (None, 125, 125, 64) 192 conv2d_2[0][0]
__________________________________________________________________________________________________
activation_2 (Activation) (None, 125, 125, 64) 0 batch_normalization_2[0][0]
__________________________________________________________________________________________________
max_pooling2d (MaxPooling2D) (None, 62, 62, 64) 0 activation_2[0][0]
__________________________________________________________________________________________________
conv2d_3 (Conv2D) (None, 62, 62, 80) 5120 max_pooling2d[0][0]
__________________________________________________________________________________________________
batch_normalization_3 (BatchNor (None, 62, 62, 80) 240 conv2d_3[0][0]
__________________________________________________________________________________________________
activation_3 (Activation) (None, 62, 62, 80) 0 batch_normalization_3[0][0]
__________________________________________________________________________________________________
conv2d_4 (Conv2D) (None, 60, 60, 192) 138240 activation_3[0][0]
__________________________________________________________________________________________________
batch_normalization_4 (BatchNor (None, 60, 60, 192) 576 conv2d_4[0][0]
__________________________________________________________________________________________________
activation_4 (Activation) (None, 60, 60, 192) 0 batch_normalization_4[0][0]
__________________________________________________________________________________________________
max_pooling2d_1 (MaxPooling2D) (None, 29, 29, 192) 0 activation_4[0][0]
__________________________________________________________________________________________________
conv2d_8 (Conv2D) (None, 29, 29, 64) 12288 max_pooling2d_1[0][0]
__________________________________________________________________________________________________
batch_normalization_8 (BatchNor (None, 29, 29, 64) 192 conv2d_8[0][0]
__________________________________________________________________________________________________
activation_8 (Activation) (None, 29, 29, 64) 0 batch_normalization_8[0][0]
__________________________________________________________________________________________________
conv2d_6 (Conv2D) (None, 29, 29, 48) 9216 max_pooling2d_1[0][0]
__________________________________________________________________________________________________
conv2d_9 (Conv2D) (None, 29, 29, 96) 55296 activation_8[0][0]
__________________________________________________________________________________________________
batch_normalization_6 (BatchNor (None, 29, 29, 48) 144 conv2d_6[0][0]
__________________________________________________________________________________________________
batch_normalization_9 (BatchNor (None, 29, 29, 96) 288 conv2d_9[0][0]
__________________________________________________________________________________________________
activation_6 (Activation) (None, 29, 29, 48) 0 batch_normalization_6[0][0]
__________________________________________________________________________________________________
activation_9 (Activation) (None, 29, 29, 96) 0 batch_normalization_9[0][0]
__________________________________________________________________________________________________
average_pooling2d (AveragePooli (None, 29, 29, 192) 0 max_pooling2d_1[0][0]
__________________________________________________________________________________________________
conv2d_5 (Conv2D) (None, 29, 29, 96) 18432 max_pooling2d_1[0][0]
__________________________________________________________________________________________________
conv2d_7 (Conv2D) (None, 29, 29, 64) 76800 activation_6[0][0]
__________________________________________________________________________________________________
conv2d_10 (Conv2D) (None, 29, 29, 96) 82944 activation_9[0][0]
__________________________________________________________________________________________________
conv2d_11 (Conv2D) (None, 29, 29, 64) 12288 average_pooling2d[0][0]
__________________________________________________________________________________________________
batch_normalization_5 (BatchNor (None, 29, 29, 96) 288 conv2d_5[0][0]
__________________________________________________________________________________________________
batch_normalization_7 (BatchNor (None, 29, 29, 64) 192 conv2d_7[0][0]
__________________________________________________________________________________________________
batch_normalization_10 (BatchNo (None, 29, 29, 96) 288 conv2d_10[0][0]
__________________________________________________________________________________________________
batch_normalization_11 (BatchNo (None, 29, 29, 64) 192 conv2d_11[0][0]
__________________________________________________________________________________________________
activation_5 (Activation) (None, 29, 29, 96) 0 batch_normalization_5[0][0]
__________________________________________________________________________________________________
activation_7 (Activation) (None, 29, 29, 64) 0 batch_normalization_7[0][0]
__________________________________________________________________________________________________
activation_10 (Activation) (None, 29, 29, 96) 0 batch_normalization_10[0][0]
__________________________________________________________________________________________________
activation_11 (Activation) (None, 29, 29, 64) 0 batch_normalization_11[0][0]
__________________________________________________________________________________________________
mixed_5b (Concatenate) (None, 29, 29, 320) 0 activation_5[0][0]
activation_7[0][0]
activation_10[0][0]
activation_11[0][0]
__________________________________________________________________________________________________
conv2d_15 (Conv2D) (None, 29, 29, 32) 10240 mixed_5b[0][0]
__________________________________________________________________________________________________
batch_normalization_15 (BatchNo (None, 29, 29, 32) 96 conv2d_15[0][0]
__________________________________________________________________________________________________
activation_15 (Activation) (None, 29, 29, 32) 0 batch_normalization_15[0][0]
__________________________________________________________________________________________________
conv2d_13 (Conv2D) (None, 29, 29, 32) 10240 mixed_5b[0][0]
__________________________________________________________________________________________________
conv2d_16 (Conv2D) (None, 29, 29, 48) 13824 activation_15[0][0]
__________________________________________________________________________________________________
batch_normalization_13 (BatchNo (None, 29, 29, 32) 96 conv2d_13[0][0]
__________________________________________________________________________________________________
batch_normalization_16 (BatchNo (None, 29, 29, 48) 144 conv2d_16[0][0]
__________________________________________________________________________________________________
activation_13 (Activation) (None, 29, 29, 32) 0 batch_normalization_13[0][0]
__________________________________________________________________________________________________
activation_16 (Activation) (None, 29, 29, 48) 0 batch_normalization_16[0][0]
__________________________________________________________________________________________________
conv2d_12 (Conv2D) (None, 29, 29, 32) 10240 mixed_5b[0][0]
__________________________________________________________________________________________________
conv2d_14 (Conv2D) (None, 29, 29, 32) 9216 activation_13[0][0]
__________________________________________________________________________________________________
conv2d_17 (Conv2D) (None, 29, 29, 64) 27648 activation_16[0][0]
__________________________________________________________________________________________________
batch_normalization_12 (BatchNo (None, 29, 29, 32) 96 conv2d_12[0][0]
__________________________________________________________________________________________________
batch_normalization_14 (BatchNo (None, 29, 29, 32) 96 conv2d_14[0][0]
__________________________________________________________________________________________________
batch_normalization_17 (BatchNo (None, 29, 29, 64) 192 conv2d_17[0][0]
__________________________________________________________________________________________________
activation_12 (Activation) (None, 29, 29, 32) 0 batch_normalization_12[0][0]
__________________________________________________________________________________________________
activation_14 (Activation) (None, 29, 29, 32) 0 batch_normalization_14[0][0]
__________________________________________________________________________________________________
activation_17 (Activation) (None, 29, 29, 64) 0 batch_normalization_17[0][0]
__________________________________________________________________________________________________
block35_1_mixed (Concatenate) (None, 29, 29, 128) 0 activation_12[0][0]
activation_14[0][0]
activation_17[0][0]
__________________________________________________________________________________________________
block35_1_conv (Conv2D) (None, 29, 29, 320) 41280 block35_1_mixed[0][0]
__________________________________________________________________________________________________
block35_1 (Lambda) (None, 29, 29, 320) 0 mixed_5b[0][0]
block35_1_conv[0][0]
__________________________________________________________________________________________________
block35_1_ac (Activation) (None, 29, 29, 320) 0 block35_1[0][0]
__________________________________________________________________________________________________
conv2d_21 (Conv2D) (None, 29, 29, 32) 10240 block35_1_ac[0][0]
__________________________________________________________________________________________________
batch_normalization_21 (BatchNo (None, 29, 29, 32) 96 conv2d_21[0][0]
__________________________________________________________________________________________________
activation_21 (Activation) (None, 29, 29, 32) 0 batch_normalization_21[0][0]
__________________________________________________________________________________________________
conv2d_19 (Conv2D) (None, 29, 29, 32) 10240 block35_1_ac[0][0]
__________________________________________________________________________________________________
conv2d_22 (Conv2D) (None, 29, 29, 48) 13824 activation_21[0][0]
__________________________________________________________________________________________________
batch_normalization_19 (BatchNo (None, 29, 29, 32) 96 conv2d_19[0][0]
__________________________________________________________________________________________________
batch_normalization_22 (BatchNo (None, 29, 29, 48) 144 conv2d_22[0][0]
__________________________________________________________________________________________________
activation_19 (Activation) (None, 29, 29, 32) 0 batch_normalization_19[0][0]
__________________________________________________________________________________________________
activation_22 (Activation) (None, 29, 29, 48) 0 batch_normalization_22[0][0]
__________________________________________________________________________________________________
conv2d_18 (Conv2D) (None, 29, 29, 32) 10240 block35_1_ac[0][0]
__________________________________________________________________________________________________
conv2d_20 (Conv2D) (None, 29, 29, 32) 9216 activation_19[0][0]
__________________________________________________________________________________________________
conv2d_23 (Conv2D) (None, 29, 29, 64) 27648 activation_22[0][0]
__________________________________________________________________________________________________
batch_normalization_18 (BatchNo (None, 29, 29, 32) 96 conv2d_18[0][0]
__________________________________________________________________________________________________
batch_normalization_20 (BatchNo (None, 29, 29, 32) 96 conv2d_20[0][0]
__________________________________________________________________________________________________
batch_normalization_23 (BatchNo (None, 29, 29, 64) 192 conv2d_23[0][0]
__________________________________________________________________________________________________
activation_18 (Activation) (None, 29, 29, 32) 0 batch_normalization_18[0][0]
__________________________________________________________________________________________________
activation_20 (Activation) (None, 29, 29, 32) 0 batch_normalization_20[0][0]
__________________________________________________________________________________________________
activation_23 (Activation) (None, 29, 29, 64) 0 batch_normalization_23[0][0]
__________________________________________________________________________________________________
block35_2_mixed (Concatenate) (None, 29, 29, 128) 0 activation_18[0][0]
activation_20[0][0]
activation_23[0][0]
__________________________________________________________________________________________________
block35_2_conv (Conv2D) (None, 29, 29, 320) 41280 block35_2_mixed[0][0]
__________________________________________________________________________________________________
block35_2 (Lambda) (None, 29, 29, 320) 0 block35_1_ac[0][0]
block35_2_conv[0][0]
__________________________________________________________________________________________________
block35_2_ac (Activation) (None, 29, 29, 320) 0 block35_2[0][0]
__________________________________________________________________________________________________
conv2d_27 (Conv2D) (None, 29, 29, 32) 10240 block35_2_ac[0][0]
__________________________________________________________________________________________________
batch_normalization_27 (BatchNo (None, 29, 29, 32) 96 conv2d_27[0][0]
__________________________________________________________________________________________________
activation_27 (Activation) (None, 29, 29, 32) 0 batch_normalization_27[0][0]
__________________________________________________________________________________________________
conv2d_25 (Conv2D) (None, 29, 29, 32) 10240 block35_2_ac[0][0]
__________________________________________________________________________________________________
conv2d_28 (Conv2D) (None, 29, 29, 48) 13824 activation_27[0][0]
__________________________________________________________________________________________________
batch_normalization_25 (BatchNo (None, 29, 29, 32) 96 conv2d_25[0][0]
__________________________________________________________________________________________________
batch_normalization_28 (BatchNo (None, 29, 29, 48) 144 conv2d_28[0][0]
__________________________________________________________________________________________________
activation_25 (Activation) (None, 29, 29, 32) 0 batch_normalization_25[0][0]
__________________________________________________________________________________________________
activation_28 (Activation) (None, 29, 29, 48) 0 batch_normalization_28[0][0]
__________________________________________________________________________________________________
conv2d_24 (Conv2D) (None, 29, 29, 32) 10240 block35_2_ac[0][0]
__________________________________________________________________________________________________
conv2d_26 (Conv2D) (None, 29, 29, 32) 9216 activation_25[0][0]
__________________________________________________________________________________________________
conv2d_29 (Conv2D) (None, 29, 29, 64) 27648 activation_28[0][0]
__________________________________________________________________________________________________
batch_normalization_24 (BatchNo (None, 29, 29, 32) 96 conv2d_24[0][0]
__________________________________________________________________________________________________
batch_normalization_26 (BatchNo (None, 29, 29, 32) 96 conv2d_26[0][0]
__________________________________________________________________________________________________
batch_normalization_29 (BatchNo (None, 29, 29, 64) 192 conv2d_29[0][0]
__________________________________________________________________________________________________
activation_24 (Activation) (None, 29, 29, 32) 0 batch_normalization_24[0][0]
__________________________________________________________________________________________________
activation_26 (Activation) (None, 29, 29, 32) 0 batch_normalization_26[0][0]
__________________________________________________________________________________________________
activation_29 (Activation) (None, 29, 29, 64) 0 batch_normalization_29[0][0]
__________________________________________________________________________________________________
block35_3_mixed (Concatenate) (None, 29, 29, 128) 0 activation_24[0][0]
activation_26[0][0]
activation_29[0][0]
__________________________________________________________________________________________________
block35_3_conv (Conv2D) (None, 29, 29, 320) 41280 block35_3_mixed[0][0]
__________________________________________________________________________________________________
block35_3 (Lambda) (None, 29, 29, 320) 0 block35_2_ac[0][0]
block35_3_conv[0][0]
__________________________________________________________________________________________________
block35_3_ac (Activation) (None, 29, 29, 320) 0 block35_3[0][0]
__________________________________________________________________________________________________
conv2d_33 (Conv2D) (None, 29, 29, 32) 10240 block35_3_ac[0][0]
__________________________________________________________________________________________________
batch_normalization_33 (BatchNo (None, 29, 29, 32) 96 conv2d_33[0][0]
__________________________________________________________________________________________________
activation_33 (Activation) (None, 29, 29, 32) 0 batch_normalization_33[0][0]
__________________________________________________________________________________________________
conv2d_31 (Conv2D) (None, 29, 29, 32) 10240 block35_3_ac[0][0]
__________________________________________________________________________________________________
conv2d_34 (Conv2D) (None, 29, 29, 48) 13824 activation_33[0][0]
__________________________________________________________________________________________________
batch_normalization_31 (BatchNo (None, 29, 29, 32) 96 conv2d_31[0][0]
__________________________________________________________________________________________________
batch_normalization_34 (BatchNo (None, 29, 29, 48) 144 conv2d_34[0][0]
__________________________________________________________________________________________________
activation_31 (Activation) (None, 29, 29, 32) 0 batch_normalization_31[0][0]
__________________________________________________________________________________________________
activation_34 (Activation) (None, 29, 29, 48) 0 batch_normalization_34[0][0]
__________________________________________________________________________________________________
conv2d_30 (Conv2D) (None, 29, 29, 32) 10240 block35_3_ac[0][0]
__________________________________________________________________________________________________
conv2d_32 (Conv2D) (None, 29, 29, 32) 9216 activation_31[0][0]
__________________________________________________________________________________________________
conv2d_35 (Conv2D) (None, 29, 29, 64) 27648 activation_34[0][0]
__________________________________________________________________________________________________
batch_normalization_30 (BatchNo (None, 29, 29, 32) 96 conv2d_30[0][0]
__________________________________________________________________________________________________
batch_normalization_32 (BatchNo (None, 29, 29, 32) 96 conv2d_32[0][0]
__________________________________________________________________________________________________
batch_normalization_35 (BatchNo (None, 29, 29, 64) 192 conv2d_35[0][0]
__________________________________________________________________________________________________
activation_30 (Activation) (None, 29, 29, 32) 0 batch_normalization_30[0][0]
__________________________________________________________________________________________________
activation_32 (Activation) (None, 29, 29, 32) 0 batch_normalization_32[0][0]
__________________________________________________________________________________________________
activation_35 (Activation) (None, 29, 29, 64) 0 batch_normalization_35[0][0]
__________________________________________________________________________________________________
block35_4_mixed (Concatenate) (None, 29, 29, 128) 0 activation_30[0][0]
activation_32[0][0]
activation_35[0][0]
__________________________________________________________________________________________________
block35_4_conv (Conv2D) (None, 29, 29, 320) 41280 block35_4_mixed[0][0]
__________________________________________________________________________________________________
block35_4 (Lambda) (None, 29, 29, 320) 0 block35_3_ac[0][0]
block35_4_conv[0][0]
__________________________________________________________________________________________________
block35_4_ac (Activation) (None, 29, 29, 320) 0 block35_4[0][0]
__________________________________________________________________________________________________
conv2d_39 (Conv2D) (None, 29, 29, 32) 10240 block35_4_ac[0][0]
__________________________________________________________________________________________________
batch_normalization_39 (BatchNo (None, 29, 29, 32) 96 conv2d_39[0][0]
__________________________________________________________________________________________________
activation_39 (Activation) (None, 29, 29, 32) 0 batch_normalization_39[0][0]
__________________________________________________________________________________________________
conv2d_37 (Conv2D) (None, 29, 29, 32) 10240 block35_4_ac[0][0]
__________________________________________________________________________________________________
conv2d_40 (Conv2D) (None, 29, 29, 48) 13824 activation_39[0][0]
__________________________________________________________________________________________________
batch_normalization_37 (BatchNo (None, 29, 29, 32) 96 conv2d_37[0][0]
__________________________________________________________________________________________________
batch_normalization_40 (BatchNo (None, 29, 29, 48) 144 conv2d_40[0][0]
__________________________________________________________________________________________________
activation_37 (Activation) (None, 29, 29, 32) 0 batch_normalization_37[0][0]
__________________________________________________________________________________________________
activation_40 (Activation) (None, 29, 29, 48) 0 batch_normalization_40[0][0]
__________________________________________________________________________________________________
conv2d_36 (Conv2D) (None, 29, 29, 32) 10240 block35_4_ac[0][0]
__________________________________________________________________________________________________
conv2d_38 (Conv2D) (None, 29, 29, 32) 9216 activation_37[0][0]
__________________________________________________________________________________________________
conv2d_41 (Conv2D) (None, 29, 29, 64) 27648 activation_40[0][0]
__________________________________________________________________________________________________
batch_normalization_36 (BatchNo (None, 29, 29, 32) 96 conv2d_36[0][0]
__________________________________________________________________________________________________
batch_normalization_38 (BatchNo (None, 29, 29, 32) 96 conv2d_38[0][0]
__________________________________________________________________________________________________
batch_normalization_41 (BatchNo (None, 29, 29, 64) 192 conv2d_41[0][0]
__________________________________________________________________________________________________
activation_36 (Activation) (None, 29, 29, 32) 0 batch_normalization_36[0][0]
__________________________________________________________________________________________________
activation_38 (Activation) (None, 29, 29, 32) 0 batch_normalization_38[0][0]
__________________________________________________________________________________________________
activation_41 (Activation) (None, 29, 29, 64) 0 batch_normalization_41[0][0]
__________________________________________________________________________________________________
block35_5_mixed (Concatenate) (None, 29, 29, 128) 0 activation_36[0][0]
activation_38[0][0]
activation_41[0][0]
__________________________________________________________________________________________________
block35_5_conv (Conv2D) (None, 29, 29, 320) 41280 block35_5_mixed[0][0]
__________________________________________________________________________________________________
block35_5 (Lambda) (None, 29, 29, 320) 0 block35_4_ac[0][0]
block35_5_conv[0][0]
__________________________________________________________________________________________________
block35_5_ac (Activation) (None, 29, 29, 320) 0 block35_5[0][0]
__________________________________________________________________________________________________
conv2d_45 (Conv2D) (None, 29, 29, 32) 10240 block35_5_ac[0][0]
__________________________________________________________________________________________________
batch_normalization_45 (BatchNo (None, 29, 29, 32) 96 conv2d_45[0][0]
__________________________________________________________________________________________________
activation_45 (Activation) (None, 29, 29, 32) 0 batch_normalization_45[0][0]
__________________________________________________________________________________________________
conv2d_43 (Conv2D) (None, 29, 29, 32) 10240 block35_5_ac[0][0]
__________________________________________________________________________________________________
conv2d_46 (Conv2D) (None, 29, 29, 48) 13824 activation_45[0][0]
__________________________________________________________________________________________________
batch_normalization_43 (BatchNo (None, 29, 29, 32) 96 conv2d_43[0][0]
__________________________________________________________________________________________________
batch_normalization_46 (BatchNo (None, 29, 29, 48) 144 conv2d_46[0][0]
__________________________________________________________________________________________________
activation_43 (Activation) (None, 29, 29, 32) 0 batch_normalization_43[0][0]
__________________________________________________________________________________________________
activation_46 (Activation) (None, 29, 29, 48) 0 batch_normalization_46[0][0]
__________________________________________________________________________________________________
conv2d_42 (Conv2D) (None, 29, 29, 32) 10240 block35_5_ac[0][0]
__________________________________________________________________________________________________
conv2d_44 (Conv2D) (None, 29, 29, 32) 9216 activation_43[0][0]
__________________________________________________________________________________________________
conv2d_47 (Conv2D) (None, 29, 29, 64) 27648 activation_46[0][0]
__________________________________________________________________________________________________
batch_normalization_42 (BatchNo (None, 29, 29, 32) 96 conv2d_42[0][0]
__________________________________________________________________________________________________
batch_normalization_44 (BatchNo (None, 29, 29, 32) 96 conv2d_44[0][0]
__________________________________________________________________________________________________
batch_normalization_47 (BatchNo (None, 29, 29, 64) 192 conv2d_47[0][0]
__________________________________________________________________________________________________
activation_42 (Activation) (None, 29, 29, 32) 0 batch_normalization_42[0][0]
__________________________________________________________________________________________________
activation_44 (Activation) (None, 29, 29, 32) 0 batch_normalization_44[0][0]
__________________________________________________________________________________________________
activation_47 (Activation) (None, 29, 29, 64) 0 batch_normalization_47[0][0]
__________________________________________________________________________________________________
block35_6_mixed (Concatenate) (None, 29, 29, 128) 0 activation_42[0][0]
activation_44[0][0]
activation_47[0][0]
__________________________________________________________________________________________________
block35_6_conv (Conv2D) (None, 29, 29, 320) 41280 block35_6_mixed[0][0]
__________________________________________________________________________________________________
block35_6 (Lambda) (None, 29, 29, 320) 0 block35_5_ac[0][0]
block35_6_conv[0][0]
__________________________________________________________________________________________________
block35_6_ac (Activation) (None, 29, 29, 320) 0 block35_6[0][0]
__________________________________________________________________________________________________
conv2d_51 (Conv2D) (None, 29, 29, 32) 10240 block35_6_ac[0][0]
__________________________________________________________________________________________________
batch_normalization_51 (BatchNo (None, 29, 29, 32) 96 conv2d_51[0][0]
__________________________________________________________________________________________________
activation_51 (Activation) (None, 29, 29, 32) 0 batch_normalization_51[0][0]
__________________________________________________________________________________________________
conv2d_49 (Conv2D) (None, 29, 29, 32) 10240 block35_6_ac[0][0]
__________________________________________________________________________________________________
conv2d_52 (Conv2D) (None, 29, 29, 48) 13824 activation_51[0][0]
__________________________________________________________________________________________________
batch_normalization_49 (BatchNo (None, 29, 29, 32) 96 conv2d_49[0][0]
__________________________________________________________________________________________________
batch_normalization_52 (BatchNo (None, 29, 29, 48) 144 conv2d_52[0][0]
__________________________________________________________________________________________________
activation_49 (Activation) (None, 29, 29, 32) 0 batch_normalization_49[0][0]
__________________________________________________________________________________________________
activation_52 (Activation) (None, 29, 29, 48) 0 batch_normalization_52[0][0]
__________________________________________________________________________________________________
conv2d_48 (Conv2D) (None, 29, 29, 32) 10240 block35_6_ac[0][0]
__________________________________________________________________________________________________
conv2d_50 (Conv2D) (None, 29, 29, 32) 9216 activation_49[0][0]
__________________________________________________________________________________________________
conv2d_53 (Conv2D) (None, 29, 29, 64) 27648 activation_52[0][0]
__________________________________________________________________________________________________
batch_normalization_48 (BatchNo (None, 29, 29, 32) 96 conv2d_48[0][0]
__________________________________________________________________________________________________
batch_normalization_50 (BatchNo (None, 29, 29, 32) 96 conv2d_50[0][0]
__________________________________________________________________________________________________
batch_normalization_53 (BatchNo (None, 29, 29, 64) 192 conv2d_53[0][0]
__________________________________________________________________________________________________
activation_48 (Activation) (None, 29, 29, 32) 0 batch_normalization_48[0][0]
__________________________________________________________________________________________________
activation_50 (Activation) (None, 29, 29, 32) 0 batch_normalization_50[0][0]
__________________________________________________________________________________________________
activation_53 (Activation) (None, 29, 29, 64) 0 batch_normalization_53[0][0]
__________________________________________________________________________________________________
block35_7_mixed (Concatenate) (None, 29, 29, 128) 0 activation_48[0][0]
activation_50[0][0]
activation_53[0][0]
__________________________________________________________________________________________________
block35_7_conv (Conv2D) (None, 29, 29, 320) 41280 block35_7_mixed[0][0]
__________________________________________________________________________________________________
block35_7 (Lambda) (None, 29, 29, 320) 0 block35_6_ac[0][0]
block35_7_conv[0][0]
__________________________________________________________________________________________________
block35_7_ac (Activation) (None, 29, 29, 320) 0 block35_7[0][0]
__________________________________________________________________________________________________
conv2d_57 (Conv2D) (None, 29, 29, 32) 10240 block35_7_ac[0][0]
__________________________________________________________________________________________________
batch_normalization_57 (BatchNo (None, 29, 29, 32) 96 conv2d_57[0][0]
__________________________________________________________________________________________________
activation_57 (Activation) (None, 29, 29, 32) 0 batch_normalization_57[0][0]
__________________________________________________________________________________________________
conv2d_55 (Conv2D) (None, 29, 29, 32) 10240 block35_7_ac[0][0]
__________________________________________________________________________________________________
conv2d_58 (Conv2D) (None, 29, 29, 48) 13824 activation_57[0][0]
__________________________________________________________________________________________________
batch_normalization_55 (BatchNo (None, 29, 29, 32) 96 conv2d_55[0][0]
__________________________________________________________________________________________________
batch_normalization_58 (BatchNo (None, 29, 29, 48) 144 conv2d_58[0][0]
__________________________________________________________________________________________________
activation_55 (Activation) (None, 29, 29, 32) 0 batch_normalization_55[0][0]
__________________________________________________________________________________________________
activation_58 (Activation) (None, 29, 29, 48) 0 batch_normalization_58[0][0]
__________________________________________________________________________________________________
conv2d_54 (Conv2D) (None, 29, 29, 32) 10240 block35_7_ac[0][0]
__________________________________________________________________________________________________
conv2d_56 (Conv2D) (None, 29, 29, 32) 9216 activation_55[0][0]
__________________________________________________________________________________________________
conv2d_59 (Conv2D) (None, 29, 29, 64) 27648 activation_58[0][0]
__________________________________________________________________________________________________
batch_normalization_54 (BatchNo (None, 29, 29, 32) 96 conv2d_54[0][0]
__________________________________________________________________________________________________
batch_normalization_56 (BatchNo (None, 29, 29, 32) 96 conv2d_56[0][0]
__________________________________________________________________________________________________
batch_normalization_59 (BatchNo (None, 29, 29, 64) 192 conv2d_59[0][0]
__________________________________________________________________________________________________
activation_54 (Activation) (None, 29, 29, 32) 0 batch_normalization_54[0][0]
__________________________________________________________________________________________________
activation_56 (Activation) (None, 29, 29, 32) 0 batch_normalization_56[0][0]
__________________________________________________________________________________________________
activation_59 (Activation) (None, 29, 29, 64) 0 batch_normalization_59[0][0]
__________________________________________________________________________________________________
block35_8_mixed (Concatenate) (None, 29, 29, 128) 0 activation_54[0][0]
activation_56[0][0]
activation_59[0][0]
__________________________________________________________________________________________________
block35_8_conv (Conv2D) (None, 29, 29, 320) 41280 block35_8_mixed[0][0]
__________________________________________________________________________________________________
block35_8 (Lambda) (None, 29, 29, 320) 0 block35_7_ac[0][0]
block35_8_conv[0][0]
__________________________________________________________________________________________________
block35_8_ac (Activation) (None, 29, 29, 320) 0 block35_8[0][0]
__________________________________________________________________________________________________
conv2d_63 (Conv2D) (None, 29, 29, 32) 10240 block35_8_ac[0][0]
__________________________________________________________________________________________________
batch_normalization_63 (BatchNo (None, 29, 29, 32) 96 conv2d_63[0][0]
__________________________________________________________________________________________________
activation_63 (Activation) (None, 29, 29, 32) 0 batch_normalization_63[0][0]
__________________________________________________________________________________________________
conv2d_61 (Conv2D) (None, 29, 29, 32) 10240 block35_8_ac[0][0]
__________________________________________________________________________________________________
conv2d_64 (Conv2D) (None, 29, 29, 48) 13824 activation_63[0][0]
__________________________________________________________________________________________________
batch_normalization_61 (BatchNo (None, 29, 29, 32) 96 conv2d_61[0][0]
__________________________________________________________________________________________________
batch_normalization_64 (BatchNo (None, 29, 29, 48) 144 conv2d_64[0][0]
__________________________________________________________________________________________________
activation_61 (Activation) (None, 29, 29, 32) 0 batch_normalization_61[0][0]
__________________________________________________________________________________________________
activation_64 (Activation) (None, 29, 29, 48) 0 batch_normalization_64[0][0]
__________________________________________________________________________________________________
conv2d_60 (Conv2D) (None, 29, 29, 32) 10240 block35_8_ac[0][0]
__________________________________________________________________________________________________
conv2d_62 (Conv2D) (None, 29, 29, 32) 9216 activation_61[0][0]
__________________________________________________________________________________________________
conv2d_65 (Conv2D) (None, 29, 29, 64) 27648 activation_64[0][0]
__________________________________________________________________________________________________
batch_normalization_60 (BatchNo (None, 29, 29, 32) 96 conv2d_60[0][0]
__________________________________________________________________________________________________
batch_normalization_62 (BatchNo (None, 29, 29, 32) 96 conv2d_62[0][0]
__________________________________________________________________________________________________
batch_normalization_65 (BatchNo (None, 29, 29, 64) 192 conv2d_65[0][0]
__________________________________________________________________________________________________
activation_60 (Activation) (None, 29, 29, 32) 0 batch_normalization_60[0][0]
__________________________________________________________________________________________________
activation_62 (Activation) (None, 29, 29, 32) 0 batch_normalization_62[0][0]
__________________________________________________________________________________________________
activation_65 (Activation) (None, 29, 29, 64) 0 batch_normalization_65[0][0]
__________________________________________________________________________________________________
block35_9_mixed (Concatenate) (None, 29, 29, 128) 0 activation_60[0][0]
activation_62[0][0]
activation_65[0][0]
__________________________________________________________________________________________________
block35_9_conv (Conv2D) (None, 29, 29, 320) 41280 block35_9_mixed[0][0]
__________________________________________________________________________________________________
block35_9 (Lambda) (None, 29, 29, 320) 0 block35_8_ac[0][0]
block35_9_conv[0][0]
__________________________________________________________________________________________________
block35_9_ac (Activation) (None, 29, 29, 320) 0 block35_9[0][0]
__________________________________________________________________________________________________
conv2d_69 (Conv2D) (None, 29, 29, 32) 10240 block35_9_ac[0][0]
__________________________________________________________________________________________________
batch_normalization_69 (BatchNo (None, 29, 29, 32) 96 conv2d_69[0][0]
__________________________________________________________________________________________________
activation_69 (Activation) (None, 29, 29, 32) 0 batch_normalization_69[0][0]
__________________________________________________________________________________________________
conv2d_67 (Conv2D) (None, 29, 29, 32) 10240 block35_9_ac[0][0]
__________________________________________________________________________________________________
conv2d_70 (Conv2D) (None, 29, 29, 48) 13824 activation_69[0][0]
__________________________________________________________________________________________________
batch_normalization_67 (BatchNo (None, 29, 29, 32) 96 conv2d_67[0][0]
__________________________________________________________________________________________________
batch_normalization_70 (BatchNo (None, 29, 29, 48) 144 conv2d_70[0][0]
__________________________________________________________________________________________________
activation_67 (Activation) (None, 29, 29, 32) 0 batch_normalization_67[0][0]
__________________________________________________________________________________________________
activation_70 (Activation) (None, 29, 29, 48) 0 batch_normalization_70[0][0]
__________________________________________________________________________________________________
conv2d_66 (Conv2D) (None, 29, 29, 32) 10240 block35_9_ac[0][0]
__________________________________________________________________________________________________
conv2d_68 (Conv2D) (None, 29, 29, 32) 9216 activation_67[0][0]
__________________________________________________________________________________________________
conv2d_71 (Conv2D) (None, 29, 29, 64) 27648 activation_70[0][0]
__________________________________________________________________________________________________
batch_normalization_66 (BatchNo (None, 29, 29, 32) 96 conv2d_66[0][0]
__________________________________________________________________________________________________
batch_normalization_68 (BatchNo (None, 29, 29, 32) 96 conv2d_68[0][0]
__________________________________________________________________________________________________
batch_normalization_71 (BatchNo (None, 29, 29, 64) 192 conv2d_71[0][0]
__________________________________________________________________________________________________
activation_66 (Activation) (None, 29, 29, 32) 0 batch_normalization_66[0][0]
__________________________________________________________________________________________________
activation_68 (Activation) (None, 29, 29, 32) 0 batch_normalization_68[0][0]
__________________________________________________________________________________________________
activation_71 (Activation) (None, 29, 29, 64) 0 batch_normalization_71[0][0]
__________________________________________________________________________________________________
block35_10_mixed (Concatenate) (None, 29, 29, 128) 0 activation_66[0][0]
activation_68[0][0]
activation_71[0][0]
__________________________________________________________________________________________________
block35_10_conv (Conv2D) (None, 29, 29, 320) 41280 block35_10_mixed[0][0]
__________________________________________________________________________________________________
block35_10 (Lambda) (None, 29, 29, 320) 0 block35_9_ac[0][0]
block35_10_conv[0][0]
__________________________________________________________________________________________________
block35_10_ac (Activation) (None, 29, 29, 320) 0 block35_10[0][0]
__________________________________________________________________________________________________
conv2d_73 (Conv2D) (None, 29, 29, 256) 81920 block35_10_ac[0][0]
__________________________________________________________________________________________________
batch_normalization_73 (BatchNo (None, 29, 29, 256) 768 conv2d_73[0][0]
__________________________________________________________________________________________________
activation_73 (Activation) (None, 29, 29, 256) 0 batch_normalization_73[0][0]
__________________________________________________________________________________________________
conv2d_74 (Conv2D) (None, 29, 29, 256) 589824 activation_73[0][0]
__________________________________________________________________________________________________
batch_normalization_74 (BatchNo (None, 29, 29, 256) 768 conv2d_74[0][0]
__________________________________________________________________________________________________
activation_74 (Activation) (None, 29, 29, 256) 0 batch_normalization_74[0][0]
__________________________________________________________________________________________________
conv2d_72 (Conv2D) (None, 14, 14, 384) 1105920 block35_10_ac[0][0]
__________________________________________________________________________________________________
conv2d_75 (Conv2D) (None, 14, 14, 384) 884736 activation_74[0][0]
__________________________________________________________________________________________________
batch_normalization_72 (BatchNo (None, 14, 14, 384) 1152 conv2d_72[0][0]
__________________________________________________________________________________________________
batch_normalization_75 (BatchNo (None, 14, 14, 384) 1152 conv2d_75[0][0]
__________________________________________________________________________________________________
activation_72 (Activation) (None, 14, 14, 384) 0 batch_normalization_72[0][0]
__________________________________________________________________________________________________
activation_75 (Activation) (None, 14, 14, 384) 0 batch_normalization_75[0][0]
__________________________________________________________________________________________________
max_pooling2d_2 (MaxPooling2D) (None, 14, 14, 320) 0 block35_10_ac[0][0]
__________________________________________________________________________________________________
mixed_6a (Concatenate) (None, 14, 14, 1088) 0 activation_72[0][0]
activation_75[0][0]
max_pooling2d_2[0][0]
__________________________________________________________________________________________________
conv2d_77 (Conv2D) (None, 14, 14, 128) 139264 mixed_6a[0][0]
__________________________________________________________________________________________________
batch_normalization_77 (BatchNo (None, 14, 14, 128) 384 conv2d_77[0][0]
__________________________________________________________________________________________________
activation_77 (Activation) (None, 14, 14, 128) 0 batch_normalization_77[0][0]
__________________________________________________________________________________________________
conv2d_78 (Conv2D) (None, 14, 14, 160) 143360 activation_77[0][0]
__________________________________________________________________________________________________
batch_normalization_78 (BatchNo (None, 14, 14, 160) 480 conv2d_78[0][0]
__________________________________________________________________________________________________
activation_78 (Activation) (None, 14, 14, 160) 0 batch_normalization_78[0][0]
__________________________________________________________________________________________________
conv2d_76 (Conv2D) (None, 14, 14, 192) 208896 mixed_6a[0][0]
__________________________________________________________________________________________________
conv2d_79 (Conv2D) (None, 14, 14, 192) 215040 activation_78[0][0]
__________________________________________________________________________________________________
batch_normalization_76 (BatchNo (None, 14, 14, 192) 576 conv2d_76[0][0]
__________________________________________________________________________________________________
batch_normalization_79 (BatchNo (None, 14, 14, 192) 576 conv2d_79[0][0]
__________________________________________________________________________________________________
activation_76 (Activation) (None, 14, 14, 192) 0 batch_normalization_76[0][0]
__________________________________________________________________________________________________
activation_79 (Activation) (None, 14, 14, 192) 0 batch_normalization_79[0][0]
__________________________________________________________________________________________________
block17_1_mixed (Concatenate) (None, 14, 14, 384) 0 activation_76[0][0]
activation_79[0][0]
__________________________________________________________________________________________________
block17_1_conv (Conv2D) (None, 14, 14, 1088) 418880 block17_1_mixed[0][0]
__________________________________________________________________________________________________
block17_1 (Lambda) (None, 14, 14, 1088) 0 mixed_6a[0][0]
block17_1_conv[0][0]
__________________________________________________________________________________________________
block17_1_ac (Activation) (None, 14, 14, 1088) 0 block17_1[0][0]
__________________________________________________________________________________________________
conv2d_81 (Conv2D) (None, 14, 14, 128) 139264 block17_1_ac[0][0]
__________________________________________________________________________________________________
batch_normalization_81 (BatchNo (None, 14, 14, 128) 384 conv2d_81[0][0]
__________________________________________________________________________________________________
activation_81 (Activation) (None, 14, 14, 128) 0 batch_normalization_81[0][0]
__________________________________________________________________________________________________
conv2d_82 (Conv2D) (None, 14, 14, 160) 143360 activation_81[0][0]
__________________________________________________________________________________________________
batch_normalization_82 (BatchNo (None, 14, 14, 160) 480 conv2d_82[0][0]
__________________________________________________________________________________________________
activation_82 (Activation) (None, 14, 14, 160) 0 batch_normalization_82[0][0]
__________________________________________________________________________________________________
conv2d_80 (Conv2D) (None, 14, 14, 192) 208896 block17_1_ac[0][0]
__________________________________________________________________________________________________
conv2d_83 (Conv2D) (None, 14, 14, 192) 215040 activation_82[0][0]
__________________________________________________________________________________________________
batch_normalization_80 (BatchNo (None, 14, 14, 192) 576 conv2d_80[0][0]
__________________________________________________________________________________________________
batch_normalization_83 (BatchNo (None, 14, 14, 192) 576 conv2d_83[0][0]
__________________________________________________________________________________________________
activation_80 (Activation) (None, 14, 14, 192) 0 batch_normalization_80[0][0]
__________________________________________________________________________________________________
activation_83 (Activation) (None, 14, 14, 192) 0 batch_normalization_83[0][0]
__________________________________________________________________________________________________
block17_2_mixed (Concatenate) (None, 14, 14, 384) 0 activation_80[0][0]
activation_83[0][0]
__________________________________________________________________________________________________
block17_2_conv (Conv2D) (None, 14, 14, 1088) 418880 block17_2_mixed[0][0]
__________________________________________________________________________________________________
block17_2 (Lambda) (None, 14, 14, 1088) 0 block17_1_ac[0][0]
block17_2_conv[0][0]
__________________________________________________________________________________________________
block17_2_ac (Activation) (None, 14, 14, 1088) 0 block17_2[0][0]
__________________________________________________________________________________________________
conv2d_85 (Conv2D) (None, 14, 14, 128) 139264 block17_2_ac[0][0]
__________________________________________________________________________________________________
batch_normalization_85 (BatchNo (None, 14, 14, 128) 384 conv2d_85[0][0]
__________________________________________________________________________________________________
activation_85 (Activation) (None, 14, 14, 128) 0 batch_normalization_85[0][0]
__________________________________________________________________________________________________
conv2d_86 (Conv2D) (None, 14, 14, 160) 143360 activation_85[0][0]
__________________________________________________________________________________________________
batch_normalization_86 (BatchNo (None, 14, 14, 160) 480 conv2d_86[0][0]
__________________________________________________________________________________________________
activation_86 (Activation) (None, 14, 14, 160) 0 batch_normalization_86[0][0]
__________________________________________________________________________________________________
conv2d_84 (Conv2D) (None, 14, 14, 192) 208896 block17_2_ac[0][0]
__________________________________________________________________________________________________
conv2d_87 (Conv2D) (None, 14, 14, 192) 215040 activation_86[0][0]
__________________________________________________________________________________________________
batch_normalization_84 (BatchNo (None, 14, 14, 192) 576 conv2d_84[0][0]
__________________________________________________________________________________________________
batch_normalization_87 (BatchNo (None, 14, 14, 192) 576 conv2d_87[0][0]
__________________________________________________________________________________________________
activation_84 (Activation) (None, 14, 14, 192) 0 batch_normalization_84[0][0]
__________________________________________________________________________________________________
activation_87 (Activation) (None, 14, 14, 192) 0 batch_normalization_87[0][0]
__________________________________________________________________________________________________
block17_3_mixed (Concatenate) (None, 14, 14, 384) 0 activation_84[0][0]
activation_87[0][0]
__________________________________________________________________________________________________
block17_3_conv (Conv2D) (None, 14, 14, 1088) 418880 block17_3_mixed[0][0]
__________________________________________________________________________________________________
block17_3 (Lambda) (None, 14, 14, 1088) 0 block17_2_ac[0][0]
block17_3_conv[0][0]
__________________________________________________________________________________________________
block17_3_ac (Activation) (None, 14, 14, 1088) 0 block17_3[0][0]
__________________________________________________________________________________________________
conv2d_89 (Conv2D) (None, 14, 14, 128) 139264 block17_3_ac[0][0]
__________________________________________________________________________________________________
batch_normalization_89 (BatchNo (None, 14, 14, 128) 384 conv2d_89[0][0]
__________________________________________________________________________________________________
activation_89 (Activation) (None, 14, 14, 128) 0 batch_normalization_89[0][0]
__________________________________________________________________________________________________
conv2d_90 (Conv2D) (None, 14, 14, 160) 143360 activation_89[0][0]
__________________________________________________________________________________________________
batch_normalization_90 (BatchNo (None, 14, 14, 160) 480 conv2d_90[0][0]
__________________________________________________________________________________________________
activation_90 (Activation) (None, 14, 14, 160) 0 batch_normalization_90[0][0]
__________________________________________________________________________________________________
conv2d_88 (Conv2D) (None, 14, 14, 192) 208896 block17_3_ac[0][0]
__________________________________________________________________________________________________
conv2d_91 (Conv2D) (None, 14, 14, 192) 215040 activation_90[0][0]
__________________________________________________________________________________________________
batch_normalization_88 (BatchNo (None, 14, 14, 192) 576 conv2d_88[0][0]
__________________________________________________________________________________________________
batch_normalization_91 (BatchNo (None, 14, 14, 192) 576 conv2d_91[0][0]
__________________________________________________________________________________________________
activation_88 (Activation) (None, 14, 14, 192) 0 batch_normalization_88[0][0]
__________________________________________________________________________________________________
activation_91 (Activation) (None, 14, 14, 192) 0 batch_normalization_91[0][0]
__________________________________________________________________________________________________
block17_4_mixed (Concatenate) (None, 14, 14, 384) 0 activation_88[0][0]
activation_91[0][0]
__________________________________________________________________________________________________
block17_4_conv (Conv2D) (None, 14, 14, 1088) 418880 block17_4_mixed[0][0]
__________________________________________________________________________________________________
block17_4 (Lambda) (None, 14, 14, 1088) 0 block17_3_ac[0][0]
block17_4_conv[0][0]
__________________________________________________________________________________________________
block17_4_ac (Activation) (None, 14, 14, 1088) 0 block17_4[0][0]
__________________________________________________________________________________________________
conv2d_93 (Conv2D) (None, 14, 14, 128) 139264 block17_4_ac[0][0]
__________________________________________________________________________________________________
batch_normalization_93 (BatchNo (None, 14, 14, 128) 384 conv2d_93[0][0]
__________________________________________________________________________________________________
activation_93 (Activation) (None, 14, 14, 128) 0 batch_normalization_93[0][0]
__________________________________________________________________________________________________
conv2d_94 (Conv2D) (None, 14, 14, 160) 143360 activation_93[0][0]
__________________________________________________________________________________________________
batch_normalization_94 (BatchNo (None, 14, 14, 160) 480 conv2d_94[0][0]
__________________________________________________________________________________________________
activation_94 (Activation) (None, 14, 14, 160) 0 batch_normalization_94[0][0]
__________________________________________________________________________________________________
conv2d_92 (Conv2D) (None, 14, 14, 192) 208896 block17_4_ac[0][0]
__________________________________________________________________________________________________
conv2d_95 (Conv2D) (None, 14, 14, 192) 215040 activation_94[0][0]
__________________________________________________________________________________________________
batch_normalization_92 (BatchNo (None, 14, 14, 192) 576 conv2d_92[0][0]
__________________________________________________________________________________________________
batch_normalization_95 (BatchNo (None, 14, 14, 192) 576 conv2d_95[0][0]
__________________________________________________________________________________________________
activation_92 (Activation) (None, 14, 14, 192) 0 batch_normalization_92[0][0]
__________________________________________________________________________________________________
activation_95 (Activation) (None, 14, 14, 192) 0 batch_normalization_95[0][0]
__________________________________________________________________________________________________
block17_5_mixed (Concatenate) (None, 14, 14, 384) 0 activation_92[0][0]
activation_95[0][0]
__________________________________________________________________________________________________
block17_5_conv (Conv2D) (None, 14, 14, 1088) 418880 block17_5_mixed[0][0]
__________________________________________________________________________________________________
block17_5 (Lambda) (None, 14, 14, 1088) 0 block17_4_ac[0][0]
block17_5_conv[0][0]
__________________________________________________________________________________________________
block17_5_ac (Activation) (None, 14, 14, 1088) 0 block17_5[0][0]
__________________________________________________________________________________________________
conv2d_97 (Conv2D) (None, 14, 14, 128) 139264 block17_5_ac[0][0]
__________________________________________________________________________________________________
batch_normalization_97 (BatchNo (None, 14, 14, 128) 384 conv2d_97[0][0]
__________________________________________________________________________________________________
activation_97 (Activation) (None, 14, 14, 128) 0 batch_normalization_97[0][0]
__________________________________________________________________________________________________
conv2d_98 (Conv2D) (None, 14, 14, 160) 143360 activation_97[0][0]
__________________________________________________________________________________________________
batch_normalization_98 (BatchNo (None, 14, 14, 160) 480 conv2d_98[0][0]
__________________________________________________________________________________________________
activation_98 (Activation) (None, 14, 14, 160) 0 batch_normalization_98[0][0]
__________________________________________________________________________________________________
conv2d_96 (Conv2D) (None, 14, 14, 192) 208896 block17_5_ac[0][0]
__________________________________________________________________________________________________
conv2d_99 (Conv2D) (None, 14, 14, 192) 215040 activation_98[0][0]
__________________________________________________________________________________________________
batch_normalization_96 (BatchNo (None, 14, 14, 192) 576 conv2d_96[0][0]
__________________________________________________________________________________________________
batch_normalization_99 (BatchNo (None, 14, 14, 192) 576 conv2d_99[0][0]
__________________________________________________________________________________________________
activation_96 (Activation) (None, 14, 14, 192) 0 batch_normalization_96[0][0]
__________________________________________________________________________________________________
activation_99 (Activation) (None, 14, 14, 192) 0 batch_normalization_99[0][0]
__________________________________________________________________________________________________
block17_6_mixed (Concatenate) (None, 14, 14, 384) 0 activation_96[0][0]
activation_99[0][0]
__________________________________________________________________________________________________
block17_6_conv (Conv2D) (None, 14, 14, 1088) 418880 block17_6_mixed[0][0]
__________________________________________________________________________________________________
block17_6 (Lambda) (None, 14, 14, 1088) 0 block17_5_ac[0][0]
block17_6_conv[0][0]
__________________________________________________________________________________________________
block17_6_ac (Activation) (None, 14, 14, 1088) 0 block17_6[0][0]
__________________________________________________________________________________________________
conv2d_101 (Conv2D) (None, 14, 14, 128) 139264 block17_6_ac[0][0]
__________________________________________________________________________________________________
batch_normalization_101 (BatchN (None, 14, 14, 128) 384 conv2d_101[0][0]
__________________________________________________________________________________________________
activation_101 (Activation) (None, 14, 14, 128) 0 batch_normalization_101[0][0]
__________________________________________________________________________________________________
conv2d_102 (Conv2D) (None, 14, 14, 160) 143360 activation_101[0][0]
__________________________________________________________________________________________________
batch_normalization_102 (BatchN (None, 14, 14, 160) 480 conv2d_102[0][0]
__________________________________________________________________________________________________
activation_102 (Activation) (None, 14, 14, 160) 0 batch_normalization_102[0][0]
__________________________________________________________________________________________________
conv2d_100 (Conv2D) (None, 14, 14, 192) 208896 block17_6_ac[0][0]
__________________________________________________________________________________________________
conv2d_103 (Conv2D) (None, 14, 14, 192) 215040 activation_102[0][0]
__________________________________________________________________________________________________
batch_normalization_100 (BatchN (None, 14, 14, 192) 576 conv2d_100[0][0]
__________________________________________________________________________________________________
batch_normalization_103 (BatchN (None, 14, 14, 192) 576 conv2d_103[0][0]
__________________________________________________________________________________________________
activation_100 (Activation) (None, 14, 14, 192) 0 batch_normalization_100[0][0]
__________________________________________________________________________________________________
activation_103 (Activation) (None, 14, 14, 192) 0 batch_normalization_103[0][0]
__________________________________________________________________________________________________
block17_7_mixed (Concatenate) (None, 14, 14, 384) 0 activation_100[0][0]
activation_103[0][0]
__________________________________________________________________________________________________
block17_7_conv (Conv2D) (None, 14, 14, 1088) 418880 block17_7_mixed[0][0]
__________________________________________________________________________________________________
block17_7 (Lambda) (None, 14, 14, 1088) 0 block17_6_ac[0][0]
block17_7_conv[0][0]
__________________________________________________________________________________________________
block17_7_ac (Activation) (None, 14, 14, 1088) 0 block17_7[0][0]
__________________________________________________________________________________________________
conv2d_105 (Conv2D) (None, 14, 14, 128) 139264 block17_7_ac[0][0]
__________________________________________________________________________________________________
batch_normalization_105 (BatchN (None, 14, 14, 128) 384 conv2d_105[0][0]
__________________________________________________________________________________________________
activation_105 (Activation) (None, 14, 14, 128) 0 batch_normalization_105[0][0]
__________________________________________________________________________________________________
conv2d_106 (Conv2D) (None, 14, 14, 160) 143360 activation_105[0][0]
__________________________________________________________________________________________________
batch_normalization_106 (BatchN (None, 14, 14, 160) 480 conv2d_106[0][0]
__________________________________________________________________________________________________
activation_106 (Activation) (None, 14, 14, 160) 0 batch_normalization_106[0][0]
__________________________________________________________________________________________________
conv2d_104 (Conv2D) (None, 14, 14, 192) 208896 block17_7_ac[0][0]
__________________________________________________________________________________________________
conv2d_107 (Conv2D) (None, 14, 14, 192) 215040 activation_106[0][0]
__________________________________________________________________________________________________
batch_normalization_104 (BatchN (None, 14, 14, 192) 576 conv2d_104[0][0]
__________________________________________________________________________________________________
batch_normalization_107 (BatchN (None, 14, 14, 192) 576 conv2d_107[0][0]
__________________________________________________________________________________________________
activation_104 (Activation) (None, 14, 14, 192) 0 batch_normalization_104[0][0]
__________________________________________________________________________________________________
activation_107 (Activation) (None, 14, 14, 192) 0 batch_normalization_107[0][0]
__________________________________________________________________________________________________
block17_8_mixed (Concatenate) (None, 14, 14, 384) 0 activation_104[0][0]
activation_107[0][0]
__________________________________________________________________________________________________
block17_8_conv (Conv2D) (None, 14, 14, 1088) 418880 block17_8_mixed[0][0]
__________________________________________________________________________________________________
block17_8 (Lambda) (None, 14, 14, 1088) 0 block17_7_ac[0][0]
block17_8_conv[0][0]
__________________________________________________________________________________________________
block17_8_ac (Activation) (None, 14, 14, 1088) 0 block17_8[0][0]
__________________________________________________________________________________________________
conv2d_109 (Conv2D) (None, 14, 14, 128) 139264 block17_8_ac[0][0]
__________________________________________________________________________________________________
batch_normalization_109 (BatchN (None, 14, 14, 128) 384 conv2d_109[0][0]
__________________________________________________________________________________________________
activation_109 (Activation) (None, 14, 14, 128) 0 batch_normalization_109[0][0]
__________________________________________________________________________________________________
conv2d_110 (Conv2D) (None, 14, 14, 160) 143360 activation_109[0][0]
__________________________________________________________________________________________________
batch_normalization_110 (BatchN (None, 14, 14, 160) 480 conv2d_110[0][0]
__________________________________________________________________________________________________
activation_110 (Activation) (None, 14, 14, 160) 0 batch_normalization_110[0][0]
__________________________________________________________________________________________________
conv2d_108 (Conv2D) (None, 14, 14, 192) 208896 block17_8_ac[0][0]
__________________________________________________________________________________________________
conv2d_111 (Conv2D) (None, 14, 14, 192) 215040 activation_110[0][0]
__________________________________________________________________________________________________
batch_normalization_108 (BatchN (None, 14, 14, 192) 576 conv2d_108[0][0]
__________________________________________________________________________________________________
batch_normalization_111 (BatchN (None, 14, 14, 192) 576 conv2d_111[0][0]
__________________________________________________________________________________________________
activation_108 (Activation) (None, 14, 14, 192) 0 batch_normalization_108[0][0]
__________________________________________________________________________________________________
activation_111 (Activation) (None, 14, 14, 192) 0 batch_normalization_111[0][0]
__________________________________________________________________________________________________
block17_9_mixed (Concatenate) (None, 14, 14, 384) 0 activation_108[0][0]
activation_111[0][0]
__________________________________________________________________________________________________
block17_9_conv (Conv2D) (None, 14, 14, 1088) 418880 block17_9_mixed[0][0]
__________________________________________________________________________________________________
block17_9 (Lambda) (None, 14, 14, 1088) 0 block17_8_ac[0][0]
block17_9_conv[0][0]
__________________________________________________________________________________________________
block17_9_ac (Activation) (None, 14, 14, 1088) 0 block17_9[0][0]
__________________________________________________________________________________________________
conv2d_113 (Conv2D) (None, 14, 14, 128) 139264 block17_9_ac[0][0]
__________________________________________________________________________________________________
batch_normalization_113 (BatchN (None, 14, 14, 128) 384 conv2d_113[0][0]
__________________________________________________________________________________________________
activation_113 (Activation) (None, 14, 14, 128) 0 batch_normalization_113[0][0]
__________________________________________________________________________________________________
conv2d_114 (Conv2D) (None, 14, 14, 160) 143360 activation_113[0][0]
__________________________________________________________________________________________________
batch_normalization_114 (BatchN (None, 14, 14, 160) 480 conv2d_114[0][0]
__________________________________________________________________________________________________
activation_114 (Activation) (None, 14, 14, 160) 0 batch_normalization_114[0][0]
__________________________________________________________________________________________________
conv2d_112 (Conv2D) (None, 14, 14, 192) 208896 block17_9_ac[0][0]
__________________________________________________________________________________________________
conv2d_115 (Conv2D) (None, 14, 14, 192) 215040 activation_114[0][0]
__________________________________________________________________________________________________
batch_normalization_112 (BatchN (None, 14, 14, 192) 576 conv2d_112[0][0]
__________________________________________________________________________________________________
batch_normalization_115 (BatchN (None, 14, 14, 192) 576 conv2d_115[0][0]
__________________________________________________________________________________________________
activation_112 (Activation) (None, 14, 14, 192) 0 batch_normalization_112[0][0]
__________________________________________________________________________________________________
activation_115 (Activation) (None, 14, 14, 192) 0 batch_normalization_115[0][0]
__________________________________________________________________________________________________
block17_10_mixed (Concatenate) (None, 14, 14, 384) 0 activation_112[0][0]
activation_115[0][0]
__________________________________________________________________________________________________
block17_10_conv (Conv2D) (None, 14, 14, 1088) 418880 block17_10_mixed[0][0]
__________________________________________________________________________________________________
block17_10 (Lambda) (None, 14, 14, 1088) 0 block17_9_ac[0][0]
block17_10_conv[0][0]
__________________________________________________________________________________________________
block17_10_ac (Activation) (None, 14, 14, 1088) 0 block17_10[0][0]
__________________________________________________________________________________________________
conv2d_117 (Conv2D) (None, 14, 14, 128) 139264 block17_10_ac[0][0]
__________________________________________________________________________________________________
batch_normalization_117 (BatchN (None, 14, 14, 128) 384 conv2d_117[0][0]
__________________________________________________________________________________________________
activation_117 (Activation) (None, 14, 14, 128) 0 batch_normalization_117[0][0]
__________________________________________________________________________________________________
conv2d_118 (Conv2D) (None, 14, 14, 160) 143360 activation_117[0][0]
__________________________________________________________________________________________________
batch_normalization_118 (BatchN (None, 14, 14, 160) 480 conv2d_118[0][0]
__________________________________________________________________________________________________
activation_118 (Activation) (None, 14, 14, 160) 0 batch_normalization_118[0][0]
__________________________________________________________________________________________________
conv2d_116 (Conv2D) (None, 14, 14, 192) 208896 block17_10_ac[0][0]
__________________________________________________________________________________________________
conv2d_119 (Conv2D) (None, 14, 14, 192) 215040 activation_118[0][0]
__________________________________________________________________________________________________
batch_normalization_116 (BatchN (None, 14, 14, 192) 576 conv2d_116[0][0]
__________________________________________________________________________________________________
batch_normalization_119 (BatchN (None, 14, 14, 192) 576 conv2d_119[0][0]
__________________________________________________________________________________________________
activation_116 (Activation) (None, 14, 14, 192) 0 batch_normalization_116[0][0]
__________________________________________________________________________________________________
activation_119 (Activation) (None, 14, 14, 192) 0 batch_normalization_119[0][0]
__________________________________________________________________________________________________
block17_11_mixed (Concatenate) (None, 14, 14, 384) 0 activation_116[0][0]
activation_119[0][0]
__________________________________________________________________________________________________
block17_11_conv (Conv2D) (None, 14, 14, 1088) 418880 block17_11_mixed[0][0]
__________________________________________________________________________________________________
block17_11 (Lambda) (None, 14, 14, 1088) 0 block17_10_ac[0][0]
block17_11_conv[0][0]
__________________________________________________________________________________________________
block17_11_ac (Activation) (None, 14, 14, 1088) 0 block17_11[0][0]
__________________________________________________________________________________________________
conv2d_121 (Conv2D) (None, 14, 14, 128) 139264 block17_11_ac[0][0]
__________________________________________________________________________________________________
batch_normalization_121 (BatchN (None, 14, 14, 128) 384 conv2d_121[0][0]
__________________________________________________________________________________________________
activation_121 (Activation) (None, 14, 14, 128) 0 batch_normalization_121[0][0]
__________________________________________________________________________________________________
conv2d_122 (Conv2D) (None, 14, 14, 160) 143360 activation_121[0][0]
__________________________________________________________________________________________________
batch_normalization_122 (BatchN (None, 14, 14, 160) 480 conv2d_122[0][0]
__________________________________________________________________________________________________
activation_122 (Activation) (None, 14, 14, 160) 0 batch_normalization_122[0][0]
__________________________________________________________________________________________________
conv2d_120 (Conv2D) (None, 14, 14, 192) 208896 block17_11_ac[0][0]
__________________________________________________________________________________________________
conv2d_123 (Conv2D) (None, 14, 14, 192) 215040 activation_122[0][0]
__________________________________________________________________________________________________
batch_normalization_120 (BatchN (None, 14, 14, 192) 576 conv2d_120[0][0]
__________________________________________________________________________________________________
batch_normalization_123 (BatchN (None, 14, 14, 192) 576 conv2d_123[0][0]
__________________________________________________________________________________________________
activation_120 (Activation) (None, 14, 14, 192) 0 batch_normalization_120[0][0]
__________________________________________________________________________________________________
activation_123 (Activation) (None, 14, 14, 192) 0 batch_normalization_123[0][0]
__________________________________________________________________________________________________
block17_12_mixed (Concatenate) (None, 14, 14, 384) 0 activation_120[0][0]
activation_123[0][0]
__________________________________________________________________________________________________
block17_12_conv (Conv2D) (None, 14, 14, 1088) 418880 block17_12_mixed[0][0]
__________________________________________________________________________________________________
block17_12 (Lambda) (None, 14, 14, 1088) 0 block17_11_ac[0][0]
block17_12_conv[0][0]
__________________________________________________________________________________________________
block17_12_ac (Activation) (None, 14, 14, 1088) 0 block17_12[0][0]
__________________________________________________________________________________________________
conv2d_125 (Conv2D) (None, 14, 14, 128) 139264 block17_12_ac[0][0]
__________________________________________________________________________________________________
batch_normalization_125 (BatchN (None, 14, 14, 128) 384 conv2d_125[0][0]
__________________________________________________________________________________________________
activation_125 (Activation) (None, 14, 14, 128) 0 batch_normalization_125[0][0]
__________________________________________________________________________________________________
conv2d_126 (Conv2D) (None, 14, 14, 160) 143360 activation_125[0][0]
__________________________________________________________________________________________________
batch_normalization_126 (BatchN (None, 14, 14, 160) 480 conv2d_126[0][0]
__________________________________________________________________________________________________
activation_126 (Activation) (None, 14, 14, 160) 0 batch_normalization_126[0][0]
__________________________________________________________________________________________________
conv2d_124 (Conv2D) (None, 14, 14, 192) 208896 block17_12_ac[0][0]
__________________________________________________________________________________________________
conv2d_127 (Conv2D) (None, 14, 14, 192) 215040 activation_126[0][0]
__________________________________________________________________________________________________
batch_normalization_124 (BatchN (None, 14, 14, 192) 576 conv2d_124[0][0]
__________________________________________________________________________________________________
batch_normalization_127 (BatchN (None, 14, 14, 192) 576 conv2d_127[0][0]
__________________________________________________________________________________________________
activation_124 (Activation) (None, 14, 14, 192) 0 batch_normalization_124[0][0]
__________________________________________________________________________________________________
activation_127 (Activation) (None, 14, 14, 192) 0 batch_normalization_127[0][0]
__________________________________________________________________________________________________
block17_13_mixed (Concatenate) (None, 14, 14, 384) 0 activation_124[0][0]
activation_127[0][0]
__________________________________________________________________________________________________
block17_13_conv (Conv2D) (None, 14, 14, 1088) 418880 block17_13_mixed[0][0]
__________________________________________________________________________________________________
block17_13 (Lambda) (None, 14, 14, 1088) 0 block17_12_ac[0][0]
block17_13_conv[0][0]
__________________________________________________________________________________________________
block17_13_ac (Activation) (None, 14, 14, 1088) 0 block17_13[0][0]
__________________________________________________________________________________________________
conv2d_129 (Conv2D) (None, 14, 14, 128) 139264 block17_13_ac[0][0]
__________________________________________________________________________________________________
batch_normalization_129 (BatchN (None, 14, 14, 128) 384 conv2d_129[0][0]
__________________________________________________________________________________________________
activation_129 (Activation) (None, 14, 14, 128) 0 batch_normalization_129[0][0]
__________________________________________________________________________________________________
conv2d_130 (Conv2D) (None, 14, 14, 160) 143360 activation_129[0][0]
__________________________________________________________________________________________________
batch_normalization_130 (BatchN (None, 14, 14, 160) 480 conv2d_130[0][0]
__________________________________________________________________________________________________
activation_130 (Activation) (None, 14, 14, 160) 0 batch_normalization_130[0][0]
__________________________________________________________________________________________________
conv2d_128 (Conv2D) (None, 14, 14, 192) 208896 block17_13_ac[0][0]
__________________________________________________________________________________________________
conv2d_131 (Conv2D) (None, 14, 14, 192) 215040 activation_130[0][0]
__________________________________________________________________________________________________
batch_normalization_128 (BatchN (None, 14, 14, 192) 576 conv2d_128[0][0]
__________________________________________________________________________________________________
batch_normalization_131 (BatchN (None, 14, 14, 192) 576 conv2d_131[0][0]
__________________________________________________________________________________________________
activation_128 (Activation) (None, 14, 14, 192) 0 batch_normalization_128[0][0]
__________________________________________________________________________________________________
activation_131 (Activation) (None, 14, 14, 192) 0 batch_normalization_131[0][0]
__________________________________________________________________________________________________
block17_14_mixed (Concatenate) (None, 14, 14, 384) 0 activation_128[0][0]
activation_131[0][0]
__________________________________________________________________________________________________
block17_14_conv (Conv2D) (None, 14, 14, 1088) 418880 block17_14_mixed[0][0]
__________________________________________________________________________________________________
block17_14 (Lambda) (None, 14, 14, 1088) 0 block17_13_ac[0][0]
block17_14_conv[0][0]
__________________________________________________________________________________________________
block17_14_ac (Activation) (None, 14, 14, 1088) 0 block17_14[0][0]
__________________________________________________________________________________________________
conv2d_133 (Conv2D) (None, 14, 14, 128) 139264 block17_14_ac[0][0]
__________________________________________________________________________________________________
batch_normalization_133 (BatchN (None, 14, 14, 128) 384 conv2d_133[0][0]
__________________________________________________________________________________________________
activation_133 (Activation) (None, 14, 14, 128) 0 batch_normalization_133[0][0]
__________________________________________________________________________________________________
conv2d_134 (Conv2D) (None, 14, 14, 160) 143360 activation_133[0][0]
__________________________________________________________________________________________________
batch_normalization_134 (BatchN (None, 14, 14, 160) 480 conv2d_134[0][0]
__________________________________________________________________________________________________
activation_134 (Activation) (None, 14, 14, 160) 0 batch_normalization_134[0][0]
__________________________________________________________________________________________________
conv2d_132 (Conv2D) (None, 14, 14, 192) 208896 block17_14_ac[0][0]
__________________________________________________________________________________________________
conv2d_135 (Conv2D) (None, 14, 14, 192) 215040 activation_134[0][0]
__________________________________________________________________________________________________
batch_normalization_132 (BatchN (None, 14, 14, 192) 576 conv2d_132[0][0]
__________________________________________________________________________________________________
batch_normalization_135 (BatchN (None, 14, 14, 192) 576 conv2d_135[0][0]
__________________________________________________________________________________________________
activation_132 (Activation) (None, 14, 14, 192) 0 batch_normalization_132[0][0]
__________________________________________________________________________________________________
activation_135 (Activation) (None, 14, 14, 192) 0 batch_normalization_135[0][0]
__________________________________________________________________________________________________
block17_15_mixed (Concatenate) (None, 14, 14, 384) 0 activation_132[0][0]
activation_135[0][0]
__________________________________________________________________________________________________
block17_15_conv (Conv2D) (None, 14, 14, 1088) 418880 block17_15_mixed[0][0]
__________________________________________________________________________________________________
block17_15 (Lambda) (None, 14, 14, 1088) 0 block17_14_ac[0][0]
block17_15_conv[0][0]
__________________________________________________________________________________________________
block17_15_ac (Activation) (None, 14, 14, 1088) 0 block17_15[0][0]
__________________________________________________________________________________________________
conv2d_137 (Conv2D) (None, 14, 14, 128) 139264 block17_15_ac[0][0]
__________________________________________________________________________________________________
batch_normalization_137 (BatchN (None, 14, 14, 128) 384 conv2d_137[0][0]
__________________________________________________________________________________________________
activation_137 (Activation) (None, 14, 14, 128) 0 batch_normalization_137[0][0]
__________________________________________________________________________________________________
conv2d_138 (Conv2D) (None, 14, 14, 160) 143360 activation_137[0][0]
__________________________________________________________________________________________________
batch_normalization_138 (BatchN (None, 14, 14, 160) 480 conv2d_138[0][0]
__________________________________________________________________________________________________
activation_138 (Activation) (None, 14, 14, 160) 0 batch_normalization_138[0][0]
__________________________________________________________________________________________________
conv2d_136 (Conv2D) (None, 14, 14, 192) 208896 block17_15_ac[0][0]
__________________________________________________________________________________________________
conv2d_139 (Conv2D) (None, 14, 14, 192) 215040 activation_138[0][0]
__________________________________________________________________________________________________
batch_normalization_136 (BatchN (None, 14, 14, 192) 576 conv2d_136[0][0]
__________________________________________________________________________________________________
batch_normalization_139 (BatchN (None, 14, 14, 192) 576 conv2d_139[0][0]
__________________________________________________________________________________________________
activation_136 (Activation) (None, 14, 14, 192) 0 batch_normalization_136[0][0]
__________________________________________________________________________________________________
activation_139 (Activation) (None, 14, 14, 192) 0 batch_normalization_139[0][0]
__________________________________________________________________________________________________
block17_16_mixed (Concatenate) (None, 14, 14, 384) 0 activation_136[0][0]
activation_139[0][0]
__________________________________________________________________________________________________
block17_16_conv (Conv2D) (None, 14, 14, 1088) 418880 block17_16_mixed[0][0]
__________________________________________________________________________________________________
block17_16 (Lambda) (None, 14, 14, 1088) 0 block17_15_ac[0][0]
block17_16_conv[0][0]
__________________________________________________________________________________________________
block17_16_ac (Activation) (None, 14, 14, 1088) 0 block17_16[0][0]
__________________________________________________________________________________________________
conv2d_141 (Conv2D) (None, 14, 14, 128) 139264 block17_16_ac[0][0]
__________________________________________________________________________________________________
batch_normalization_141 (BatchN (None, 14, 14, 128) 384 conv2d_141[0][0]
__________________________________________________________________________________________________
activation_141 (Activation) (None, 14, 14, 128) 0 batch_normalization_141[0][0]
__________________________________________________________________________________________________
conv2d_142 (Conv2D) (None, 14, 14, 160) 143360 activation_141[0][0]
__________________________________________________________________________________________________
batch_normalization_142 (BatchN (None, 14, 14, 160) 480 conv2d_142[0][0]
__________________________________________________________________________________________________
activation_142 (Activation) (None, 14, 14, 160) 0 batch_normalization_142[0][0]
__________________________________________________________________________________________________
conv2d_140 (Conv2D) (None, 14, 14, 192) 208896 block17_16_ac[0][0]
__________________________________________________________________________________________________
conv2d_143 (Conv2D) (None, 14, 14, 192) 215040 activation_142[0][0]
__________________________________________________________________________________________________
batch_normalization_140 (BatchN (None, 14, 14, 192) 576 conv2d_140[0][0]
__________________________________________________________________________________________________
batch_normalization_143 (BatchN (None, 14, 14, 192) 576 conv2d_143[0][0]
__________________________________________________________________________________________________
activation_140 (Activation) (None, 14, 14, 192) 0 batch_normalization_140[0][0]
__________________________________________________________________________________________________
activation_143 (Activation) (None, 14, 14, 192) 0 batch_normalization_143[0][0]
__________________________________________________________________________________________________
block17_17_mixed (Concatenate) (None, 14, 14, 384) 0 activation_140[0][0]
activation_143[0][0]
__________________________________________________________________________________________________
block17_17_conv (Conv2D) (None, 14, 14, 1088) 418880 block17_17_mixed[0][0]
__________________________________________________________________________________________________
block17_17 (Lambda) (None, 14, 14, 1088) 0 block17_16_ac[0][0]
block17_17_conv[0][0]
__________________________________________________________________________________________________
block17_17_ac (Activation) (None, 14, 14, 1088) 0 block17_17[0][0]
__________________________________________________________________________________________________
conv2d_145 (Conv2D) (None, 14, 14, 128) 139264 block17_17_ac[0][0]
__________________________________________________________________________________________________
batch_normalization_145 (BatchN (None, 14, 14, 128) 384 conv2d_145[0][0]
__________________________________________________________________________________________________
activation_145 (Activation) (None, 14, 14, 128) 0 batch_normalization_145[0][0]
__________________________________________________________________________________________________
conv2d_146 (Conv2D) (None, 14, 14, 160) 143360 activation_145[0][0]
__________________________________________________________________________________________________
batch_normalization_146 (BatchN (None, 14, 14, 160) 480 conv2d_146[0][0]
__________________________________________________________________________________________________
activation_146 (Activation) (None, 14, 14, 160) 0 batch_normalization_146[0][0]
__________________________________________________________________________________________________
conv2d_144 (Conv2D) (None, 14, 14, 192) 208896 block17_17_ac[0][0]
__________________________________________________________________________________________________
conv2d_147 (Conv2D) (None, 14, 14, 192) 215040 activation_146[0][0]
__________________________________________________________________________________________________
batch_normalization_144 (BatchN (None, 14, 14, 192) 576 conv2d_144[0][0]
__________________________________________________________________________________________________
batch_normalization_147 (BatchN (None, 14, 14, 192) 576 conv2d_147[0][0]
__________________________________________________________________________________________________
activation_144 (Activation) (None, 14, 14, 192) 0 batch_normalization_144[0][0]
__________________________________________________________________________________________________
activation_147 (Activation) (None, 14, 14, 192) 0 batch_normalization_147[0][0]
__________________________________________________________________________________________________
block17_18_mixed (Concatenate) (None, 14, 14, 384) 0 activation_144[0][0]
activation_147[0][0]
__________________________________________________________________________________________________
block17_18_conv (Conv2D) (None, 14, 14, 1088) 418880 block17_18_mixed[0][0]
__________________________________________________________________________________________________
block17_18 (Lambda) (None, 14, 14, 1088) 0 block17_17_ac[0][0]
block17_18_conv[0][0]
__________________________________________________________________________________________________
block17_18_ac (Activation) (None, 14, 14, 1088) 0 block17_18[0][0]
__________________________________________________________________________________________________
conv2d_149 (Conv2D) (None, 14, 14, 128) 139264 block17_18_ac[0][0]
__________________________________________________________________________________________________
batch_normalization_149 (BatchN (None, 14, 14, 128) 384 conv2d_149[0][0]
__________________________________________________________________________________________________
activation_149 (Activation) (None, 14, 14, 128) 0 batch_normalization_149[0][0]
__________________________________________________________________________________________________
conv2d_150 (Conv2D) (None, 14, 14, 160) 143360 activation_149[0][0]
__________________________________________________________________________________________________
batch_normalization_150 (BatchN (None, 14, 14, 160) 480 conv2d_150[0][0]
__________________________________________________________________________________________________
activation_150 (Activation) (None, 14, 14, 160) 0 batch_normalization_150[0][0]
__________________________________________________________________________________________________
conv2d_148 (Conv2D) (None, 14, 14, 192) 208896 block17_18_ac[0][0]
__________________________________________________________________________________________________
conv2d_151 (Conv2D) (None, 14, 14, 192) 215040 activation_150[0][0]
__________________________________________________________________________________________________
batch_normalization_148 (BatchN (None, 14, 14, 192) 576 conv2d_148[0][0]
__________________________________________________________________________________________________
batch_normalization_151 (BatchN (None, 14, 14, 192) 576 conv2d_151[0][0]
__________________________________________________________________________________________________
activation_148 (Activation) (None, 14, 14, 192) 0 batch_normalization_148[0][0]
__________________________________________________________________________________________________
activation_151 (Activation) (None, 14, 14, 192) 0 batch_normalization_151[0][0]
__________________________________________________________________________________________________
block17_19_mixed (Concatenate) (None, 14, 14, 384) 0 activation_148[0][0]
activation_151[0][0]
__________________________________________________________________________________________________
block17_19_conv (Conv2D) (None, 14, 14, 1088) 418880 block17_19_mixed[0][0]
__________________________________________________________________________________________________
block17_19 (Lambda) (None, 14, 14, 1088) 0 block17_18_ac[0][0]
block17_19_conv[0][0]
__________________________________________________________________________________________________
block17_19_ac (Activation) (None, 14, 14, 1088) 0 block17_19[0][0]
__________________________________________________________________________________________________
conv2d_153 (Conv2D) (None, 14, 14, 128) 139264 block17_19_ac[0][0]
__________________________________________________________________________________________________
batch_normalization_153 (BatchN (None, 14, 14, 128) 384 conv2d_153[0][0]
__________________________________________________________________________________________________
activation_153 (Activation) (None, 14, 14, 128) 0 batch_normalization_153[0][0]
__________________________________________________________________________________________________
conv2d_154 (Conv2D) (None, 14, 14, 160) 143360 activation_153[0][0]
__________________________________________________________________________________________________
batch_normalization_154 (BatchN (None, 14, 14, 160) 480 conv2d_154[0][0]
__________________________________________________________________________________________________
activation_154 (Activation) (None, 14, 14, 160) 0 batch_normalization_154[0][0]
__________________________________________________________________________________________________
conv2d_152 (Conv2D) (None, 14, 14, 192) 208896 block17_19_ac[0][0]
__________________________________________________________________________________________________
conv2d_155 (Conv2D) (None, 14, 14, 192) 215040 activation_154[0][0]
__________________________________________________________________________________________________
batch_normalization_152 (BatchN (None, 14, 14, 192) 576 conv2d_152[0][0]
__________________________________________________________________________________________________
batch_normalization_155 (BatchN (None, 14, 14, 192) 576 conv2d_155[0][0]
__________________________________________________________________________________________________
activation_152 (Activation) (None, 14, 14, 192) 0 batch_normalization_152[0][0]
__________________________________________________________________________________________________
activation_155 (Activation) (None, 14, 14, 192) 0 batch_normalization_155[0][0]
__________________________________________________________________________________________________
block17_20_mixed (Concatenate) (None, 14, 14, 384) 0 activation_152[0][0]
activation_155[0][0]
__________________________________________________________________________________________________
block17_20_conv (Conv2D) (None, 14, 14, 1088) 418880 block17_20_mixed[0][0]
__________________________________________________________________________________________________
block17_20 (Lambda) (None, 14, 14, 1088) 0 block17_19_ac[0][0]
block17_20_conv[0][0]
__________________________________________________________________________________________________
block17_20_ac (Activation) (None, 14, 14, 1088) 0 block17_20[0][0]
__________________________________________________________________________________________________
conv2d_160 (Conv2D) (None, 14, 14, 256) 278528 block17_20_ac[0][0]
__________________________________________________________________________________________________
batch_normalization_160 (BatchN (None, 14, 14, 256) 768 conv2d_160[0][0]
__________________________________________________________________________________________________
activation_160 (Activation) (None, 14, 14, 256) 0 batch_normalization_160[0][0]
__________________________________________________________________________________________________
conv2d_156 (Conv2D) (None, 14, 14, 256) 278528 block17_20_ac[0][0]
__________________________________________________________________________________________________
conv2d_158 (Conv2D) (None, 14, 14, 256) 278528 block17_20_ac[0][0]
__________________________________________________________________________________________________
conv2d_161 (Conv2D) (None, 14, 14, 288) 663552 activation_160[0][0]
__________________________________________________________________________________________________
batch_normalization_156 (BatchN (None, 14, 14, 256) 768 conv2d_156[0][0]
__________________________________________________________________________________________________
batch_normalization_158 (BatchN (None, 14, 14, 256) 768 conv2d_158[0][0]
__________________________________________________________________________________________________
batch_normalization_161 (BatchN (None, 14, 14, 288) 864 conv2d_161[0][0]
__________________________________________________________________________________________________
activation_156 (Activation) (None, 14, 14, 256) 0 batch_normalization_156[0][0]
__________________________________________________________________________________________________
activation_158 (Activation) (None, 14, 14, 256) 0 batch_normalization_158[0][0]
__________________________________________________________________________________________________
activation_161 (Activation) (None, 14, 14, 288) 0 batch_normalization_161[0][0]
__________________________________________________________________________________________________
conv2d_157 (Conv2D) (None, 6, 6, 384) 884736 activation_156[0][0]
__________________________________________________________________________________________________
conv2d_159 (Conv2D) (None, 6, 6, 288) 663552 activation_158[0][0]
__________________________________________________________________________________________________
conv2d_162 (Conv2D) (None, 6, 6, 320) 829440 activation_161[0][0]
__________________________________________________________________________________________________
batch_normalization_157 (BatchN (None, 6, 6, 384) 1152 conv2d_157[0][0]
__________________________________________________________________________________________________
batch_normalization_159 (BatchN (None, 6, 6, 288) 864 conv2d_159[0][0]
__________________________________________________________________________________________________
batch_normalization_162 (BatchN (None, 6, 6, 320) 960 conv2d_162[0][0]
__________________________________________________________________________________________________
activation_157 (Activation) (None, 6, 6, 384) 0 batch_normalization_157[0][0]
__________________________________________________________________________________________________
activation_159 (Activation) (None, 6, 6, 288) 0 batch_normalization_159[0][0]
__________________________________________________________________________________________________
activation_162 (Activation) (None, 6, 6, 320) 0 batch_normalization_162[0][0]
__________________________________________________________________________________________________
max_pooling2d_3 (MaxPooling2D) (None, 6, 6, 1088) 0 block17_20_ac[0][0]
__________________________________________________________________________________________________
mixed_7a (Concatenate) (None, 6, 6, 2080) 0 activation_157[0][0]
activation_159[0][0]
activation_162[0][0]
max_pooling2d_3[0][0]
__________________________________________________________________________________________________
conv2d_164 (Conv2D) (None, 6, 6, 192) 399360 mixed_7a[0][0]
__________________________________________________________________________________________________
batch_normalization_164 (BatchN (None, 6, 6, 192) 576 conv2d_164[0][0]
__________________________________________________________________________________________________
activation_164 (Activation) (None, 6, 6, 192) 0 batch_normalization_164[0][0]
__________________________________________________________________________________________________
conv2d_165 (Conv2D) (None, 6, 6, 224) 129024 activation_164[0][0]
__________________________________________________________________________________________________
batch_normalization_165 (BatchN (None, 6, 6, 224) 672 conv2d_165[0][0]
__________________________________________________________________________________________________
activation_165 (Activation) (None, 6, 6, 224) 0 batch_normalization_165[0][0]
__________________________________________________________________________________________________
conv2d_163 (Conv2D) (None, 6, 6, 192) 399360 mixed_7a[0][0]
__________________________________________________________________________________________________
conv2d_166 (Conv2D) (None, 6, 6, 256) 172032 activation_165[0][0]
__________________________________________________________________________________________________
batch_normalization_163 (BatchN (None, 6, 6, 192) 576 conv2d_163[0][0]
__________________________________________________________________________________________________
batch_normalization_166 (BatchN (None, 6, 6, 256) 768 conv2d_166[0][0]
__________________________________________________________________________________________________
activation_163 (Activation) (None, 6, 6, 192) 0 batch_normalization_163[0][0]
__________________________________________________________________________________________________
activation_166 (Activation) (None, 6, 6, 256) 0 batch_normalization_166[0][0]
__________________________________________________________________________________________________
block8_1_mixed (Concatenate) (None, 6, 6, 448) 0 activation_163[0][0]
activation_166[0][0]
__________________________________________________________________________________________________
block8_1_conv (Conv2D) (None, 6, 6, 2080) 933920 block8_1_mixed[0][0]
__________________________________________________________________________________________________
block8_1 (Lambda) (None, 6, 6, 2080) 0 mixed_7a[0][0]
block8_1_conv[0][0]
__________________________________________________________________________________________________
block8_1_ac (Activation) (None, 6, 6, 2080) 0 block8_1[0][0]
__________________________________________________________________________________________________
conv2d_168 (Conv2D) (None, 6, 6, 192) 399360 block8_1_ac[0][0]
__________________________________________________________________________________________________
batch_normalization_168 (BatchN (None, 6, 6, 192) 576 conv2d_168[0][0]
__________________________________________________________________________________________________
activation_168 (Activation) (None, 6, 6, 192) 0 batch_normalization_168[0][0]
__________________________________________________________________________________________________
conv2d_169 (Conv2D) (None, 6, 6, 224) 129024 activation_168[0][0]
__________________________________________________________________________________________________
batch_normalization_169 (BatchN (None, 6, 6, 224) 672 conv2d_169[0][0]
__________________________________________________________________________________________________
activation_169 (Activation) (None, 6, 6, 224) 0 batch_normalization_169[0][0]
__________________________________________________________________________________________________
conv2d_167 (Conv2D) (None, 6, 6, 192) 399360 block8_1_ac[0][0]
__________________________________________________________________________________________________
conv2d_170 (Conv2D) (None, 6, 6, 256) 172032 activation_169[0][0]
__________________________________________________________________________________________________
batch_normalization_167 (BatchN (None, 6, 6, 192) 576 conv2d_167[0][0]
__________________________________________________________________________________________________
batch_normalization_170 (BatchN (None, 6, 6, 256) 768 conv2d_170[0][0]
__________________________________________________________________________________________________
activation_167 (Activation) (None, 6, 6, 192) 0 batch_normalization_167[0][0]
__________________________________________________________________________________________________
activation_170 (Activation) (None, 6, 6, 256) 0 batch_normalization_170[0][0]
__________________________________________________________________________________________________
block8_2_mixed (Concatenate) (None, 6, 6, 448) 0 activation_167[0][0]
activation_170[0][0]
__________________________________________________________________________________________________
block8_2_conv (Conv2D) (None, 6, 6, 2080) 933920 block8_2_mixed[0][0]
__________________________________________________________________________________________________
block8_2 (Lambda) (None, 6, 6, 2080) 0 block8_1_ac[0][0]
block8_2_conv[0][0]
__________________________________________________________________________________________________
block8_2_ac (Activation) (None, 6, 6, 2080) 0 block8_2[0][0]
__________________________________________________________________________________________________
conv2d_172 (Conv2D) (None, 6, 6, 192) 399360 block8_2_ac[0][0]
__________________________________________________________________________________________________
batch_normalization_172 (BatchN (None, 6, 6, 192) 576 conv2d_172[0][0]
__________________________________________________________________________________________________
activation_172 (Activation) (None, 6, 6, 192) 0 batch_normalization_172[0][0]
__________________________________________________________________________________________________
conv2d_173 (Conv2D) (None, 6, 6, 224) 129024 activation_172[0][0]
__________________________________________________________________________________________________
batch_normalization_173 (BatchN (None, 6, 6, 224) 672 conv2d_173[0][0]
__________________________________________________________________________________________________
activation_173 (Activation) (None, 6, 6, 224) 0 batch_normalization_173[0][0]
__________________________________________________________________________________________________
conv2d_171 (Conv2D) (None, 6, 6, 192) 399360 block8_2_ac[0][0]
__________________________________________________________________________________________________
conv2d_174 (Conv2D) (None, 6, 6, 256) 172032 activation_173[0][0]
__________________________________________________________________________________________________
batch_normalization_171 (BatchN (None, 6, 6, 192) 576 conv2d_171[0][0]
__________________________________________________________________________________________________
batch_normalization_174 (BatchN (None, 6, 6, 256) 768 conv2d_174[0][0]
__________________________________________________________________________________________________
activation_171 (Activation) (None, 6, 6, 192) 0 batch_normalization_171[0][0]
__________________________________________________________________________________________________
activation_174 (Activation) (None, 6, 6, 256) 0 batch_normalization_174[0][0]
__________________________________________________________________________________________________
block8_3_mixed (Concatenate) (None, 6, 6, 448) 0 activation_171[0][0]
activation_174[0][0]
__________________________________________________________________________________________________
block8_3_conv (Conv2D) (None, 6, 6, 2080) 933920 block8_3_mixed[0][0]
__________________________________________________________________________________________________
block8_3 (Lambda) (None, 6, 6, 2080) 0 block8_2_ac[0][0]
block8_3_conv[0][0]
__________________________________________________________________________________________________
block8_3_ac (Activation) (None, 6, 6, 2080) 0 block8_3[0][0]
__________________________________________________________________________________________________
conv2d_176 (Conv2D) (None, 6, 6, 192) 399360 block8_3_ac[0][0]
__________________________________________________________________________________________________
batch_normalization_176 (BatchN (None, 6, 6, 192) 576 conv2d_176[0][0]
__________________________________________________________________________________________________
activation_176 (Activation) (None, 6, 6, 192) 0 batch_normalization_176[0][0]
__________________________________________________________________________________________________
conv2d_177 (Conv2D) (None, 6, 6, 224) 129024 activation_176[0][0]
__________________________________________________________________________________________________
batch_normalization_177 (BatchN (None, 6, 6, 224) 672 conv2d_177[0][0]
__________________________________________________________________________________________________
activation_177 (Activation) (None, 6, 6, 224) 0 batch_normalization_177[0][0]
__________________________________________________________________________________________________
conv2d_175 (Conv2D) (None, 6, 6, 192) 399360 block8_3_ac[0][0]
__________________________________________________________________________________________________
conv2d_178 (Conv2D) (None, 6, 6, 256) 172032 activation_177[0][0]
__________________________________________________________________________________________________
batch_normalization_175 (BatchN (None, 6, 6, 192) 576 conv2d_175[0][0]
__________________________________________________________________________________________________
batch_normalization_178 (BatchN (None, 6, 6, 256) 768 conv2d_178[0][0]
__________________________________________________________________________________________________
activation_175 (Activation) (None, 6, 6, 192) 0 batch_normalization_175[0][0]
__________________________________________________________________________________________________
activation_178 (Activation) (None, 6, 6, 256) 0 batch_normalization_178[0][0]
__________________________________________________________________________________________________
block8_4_mixed (Concatenate) (None, 6, 6, 448) 0 activation_175[0][0]
activation_178[0][0]
__________________________________________________________________________________________________
block8_4_conv (Conv2D) (None, 6, 6, 2080) 933920 block8_4_mixed[0][0]
__________________________________________________________________________________________________
block8_4 (Lambda) (None, 6, 6, 2080) 0 block8_3_ac[0][0]
block8_4_conv[0][0]
__________________________________________________________________________________________________
block8_4_ac (Activation) (None, 6, 6, 2080) 0 block8_4[0][0]
__________________________________________________________________________________________________
conv2d_180 (Conv2D) (None, 6, 6, 192) 399360 block8_4_ac[0][0]
__________________________________________________________________________________________________
batch_normalization_180 (BatchN (None, 6, 6, 192) 576 conv2d_180[0][0]
__________________________________________________________________________________________________
activation_180 (Activation) (None, 6, 6, 192) 0 batch_normalization_180[0][0]
__________________________________________________________________________________________________
conv2d_181 (Conv2D) (None, 6, 6, 224) 129024 activation_180[0][0]
__________________________________________________________________________________________________
batch_normalization_181 (BatchN (None, 6, 6, 224) 672 conv2d_181[0][0]
__________________________________________________________________________________________________
activation_181 (Activation) (None, 6, 6, 224) 0 batch_normalization_181[0][0]
__________________________________________________________________________________________________
conv2d_179 (Conv2D) (None, 6, 6, 192) 399360 block8_4_ac[0][0]
__________________________________________________________________________________________________
conv2d_182 (Conv2D) (None, 6, 6, 256) 172032 activation_181[0][0]
__________________________________________________________________________________________________
batch_normalization_179 (BatchN (None, 6, 6, 192) 576 conv2d_179[0][0]
__________________________________________________________________________________________________
batch_normalization_182 (BatchN (None, 6, 6, 256) 768 conv2d_182[0][0]
__________________________________________________________________________________________________
activation_179 (Activation) (None, 6, 6, 192) 0 batch_normalization_179[0][0]
__________________________________________________________________________________________________
activation_182 (Activation) (None, 6, 6, 256) 0 batch_normalization_182[0][0]
__________________________________________________________________________________________________
block8_5_mixed (Concatenate) (None, 6, 6, 448) 0 activation_179[0][0]
activation_182[0][0]
__________________________________________________________________________________________________
block8_5_conv (Conv2D) (None, 6, 6, 2080) 933920 block8_5_mixed[0][0]
__________________________________________________________________________________________________
block8_5 (Lambda) (None, 6, 6, 2080) 0 block8_4_ac[0][0]
block8_5_conv[0][0]
__________________________________________________________________________________________________
block8_5_ac (Activation) (None, 6, 6, 2080) 0 block8_5[0][0]
__________________________________________________________________________________________________
conv2d_184 (Conv2D) (None, 6, 6, 192) 399360 block8_5_ac[0][0]
__________________________________________________________________________________________________
batch_normalization_184 (BatchN (None, 6, 6, 192) 576 conv2d_184[0][0]
__________________________________________________________________________________________________
activation_184 (Activation) (None, 6, 6, 192) 0 batch_normalization_184[0][0]
__________________________________________________________________________________________________
conv2d_185 (Conv2D) (None, 6, 6, 224) 129024 activation_184[0][0]
__________________________________________________________________________________________________
batch_normalization_185 (BatchN (None, 6, 6, 224) 672 conv2d_185[0][0]
__________________________________________________________________________________________________
activation_185 (Activation) (None, 6, 6, 224) 0 batch_normalization_185[0][0]
__________________________________________________________________________________________________
conv2d_183 (Conv2D) (None, 6, 6, 192) 399360 block8_5_ac[0][0]
__________________________________________________________________________________________________
conv2d_186 (Conv2D) (None, 6, 6, 256) 172032 activation_185[0][0]
__________________________________________________________________________________________________
batch_normalization_183 (BatchN (None, 6, 6, 192) 576 conv2d_183[0][0]
__________________________________________________________________________________________________
batch_normalization_186 (BatchN (None, 6, 6, 256) 768 conv2d_186[0][0]
__________________________________________________________________________________________________
activation_183 (Activation) (None, 6, 6, 192) 0 batch_normalization_183[0][0]
__________________________________________________________________________________________________
activation_186 (Activation) (None, 6, 6, 256) 0 batch_normalization_186[0][0]
__________________________________________________________________________________________________
block8_6_mixed (Concatenate) (None, 6, 6, 448) 0 activation_183[0][0]
activation_186[0][0]
__________________________________________________________________________________________________
block8_6_conv (Conv2D) (None, 6, 6, 2080) 933920 block8_6_mixed[0][0]
__________________________________________________________________________________________________
block8_6 (Lambda) (None, 6, 6, 2080) 0 block8_5_ac[0][0]
block8_6_conv[0][0]
__________________________________________________________________________________________________
block8_6_ac (Activation) (None, 6, 6, 2080) 0 block8_6[0][0]
__________________________________________________________________________________________________
conv2d_188 (Conv2D) (None, 6, 6, 192) 399360 block8_6_ac[0][0]
__________________________________________________________________________________________________
batch_normalization_188 (BatchN (None, 6, 6, 192) 576 conv2d_188[0][0]
__________________________________________________________________________________________________
activation_188 (Activation) (None, 6, 6, 192) 0 batch_normalization_188[0][0]
__________________________________________________________________________________________________
conv2d_189 (Conv2D) (None, 6, 6, 224) 129024 activation_188[0][0]
__________________________________________________________________________________________________
batch_normalization_189 (BatchN (None, 6, 6, 224) 672 conv2d_189[0][0]
__________________________________________________________________________________________________
activation_189 (Activation) (None, 6, 6, 224) 0 batch_normalization_189[0][0]
__________________________________________________________________________________________________
conv2d_187 (Conv2D) (None, 6, 6, 192) 399360 block8_6_ac[0][0]
__________________________________________________________________________________________________
conv2d_190 (Conv2D) (None, 6, 6, 256) 172032 activation_189[0][0]
__________________________________________________________________________________________________
batch_normalization_187 (BatchN (None, 6, 6, 192) 576 conv2d_187[0][0]
__________________________________________________________________________________________________
batch_normalization_190 (BatchN (None, 6, 6, 256) 768 conv2d_190[0][0]
__________________________________________________________________________________________________
activation_187 (Activation) (None, 6, 6, 192) 0 batch_normalization_187[0][0]
__________________________________________________________________________________________________
activation_190 (Activation) (None, 6, 6, 256) 0 batch_normalization_190[0][0]
__________________________________________________________________________________________________
block8_7_mixed (Concatenate) (None, 6, 6, 448) 0 activation_187[0][0]
activation_190[0][0]
__________________________________________________________________________________________________
block8_7_conv (Conv2D) (None, 6, 6, 2080) 933920 block8_7_mixed[0][0]
__________________________________________________________________________________________________
block8_7 (Lambda) (None, 6, 6, 2080) 0 block8_6_ac[0][0]
block8_7_conv[0][0]
__________________________________________________________________________________________________
block8_7_ac (Activation) (None, 6, 6, 2080) 0 block8_7[0][0]
__________________________________________________________________________________________________
conv2d_192 (Conv2D) (None, 6, 6, 192) 399360 block8_7_ac[0][0]
__________________________________________________________________________________________________
batch_normalization_192 (BatchN (None, 6, 6, 192) 576 conv2d_192[0][0]
__________________________________________________________________________________________________
activation_192 (Activation) (None, 6, 6, 192) 0 batch_normalization_192[0][0]
__________________________________________________________________________________________________
conv2d_193 (Conv2D) (None, 6, 6, 224) 129024 activation_192[0][0]
__________________________________________________________________________________________________
batch_normalization_193 (BatchN (None, 6, 6, 224) 672 conv2d_193[0][0]
__________________________________________________________________________________________________
activation_193 (Activation) (None, 6, 6, 224) 0 batch_normalization_193[0][0]
__________________________________________________________________________________________________
conv2d_191 (Conv2D) (None, 6, 6, 192) 399360 block8_7_ac[0][0]
__________________________________________________________________________________________________
conv2d_194 (Conv2D) (None, 6, 6, 256) 172032 activation_193[0][0]
__________________________________________________________________________________________________
batch_normalization_191 (BatchN (None, 6, 6, 192) 576 conv2d_191[0][0]
__________________________________________________________________________________________________
batch_normalization_194 (BatchN (None, 6, 6, 256) 768 conv2d_194[0][0]
__________________________________________________________________________________________________
activation_191 (Activation) (None, 6, 6, 192) 0 batch_normalization_191[0][0]
__________________________________________________________________________________________________
activation_194 (Activation) (None, 6, 6, 256) 0 batch_normalization_194[0][0]
__________________________________________________________________________________________________
block8_8_mixed (Concatenate) (None, 6, 6, 448) 0 activation_191[0][0]
activation_194[0][0]
__________________________________________________________________________________________________
block8_8_conv (Conv2D) (None, 6, 6, 2080) 933920 block8_8_mixed[0][0]
__________________________________________________________________________________________________
block8_8 (Lambda) (None, 6, 6, 2080) 0 block8_7_ac[0][0]
block8_8_conv[0][0]
__________________________________________________________________________________________________
block8_8_ac (Activation) (None, 6, 6, 2080) 0 block8_8[0][0]
__________________________________________________________________________________________________
conv2d_196 (Conv2D) (None, 6, 6, 192) 399360 block8_8_ac[0][0]
__________________________________________________________________________________________________
batch_normalization_196 (BatchN (None, 6, 6, 192) 576 conv2d_196[0][0]
__________________________________________________________________________________________________
activation_196 (Activation) (None, 6, 6, 192) 0 batch_normalization_196[0][0]
__________________________________________________________________________________________________
conv2d_197 (Conv2D) (None, 6, 6, 224) 129024 activation_196[0][0]
__________________________________________________________________________________________________
batch_normalization_197 (BatchN (None, 6, 6, 224) 672 conv2d_197[0][0]
__________________________________________________________________________________________________
activation_197 (Activation) (None, 6, 6, 224) 0 batch_normalization_197[0][0]
__________________________________________________________________________________________________
conv2d_195 (Conv2D) (None, 6, 6, 192) 399360 block8_8_ac[0][0]
__________________________________________________________________________________________________
conv2d_198 (Conv2D) (None, 6, 6, 256) 172032 activation_197[0][0]
__________________________________________________________________________________________________
batch_normalization_195 (BatchN (None, 6, 6, 192) 576 conv2d_195[0][0]
__________________________________________________________________________________________________
batch_normalization_198 (BatchN (None, 6, 6, 256) 768 conv2d_198[0][0]
__________________________________________________________________________________________________
activation_195 (Activation) (None, 6, 6, 192) 0 batch_normalization_195[0][0]
__________________________________________________________________________________________________
activation_198 (Activation) (None, 6, 6, 256) 0 batch_normalization_198[0][0]
__________________________________________________________________________________________________
block8_9_mixed (Concatenate) (None, 6, 6, 448) 0 activation_195[0][0]
activation_198[0][0]
__________________________________________________________________________________________________
block8_9_conv (Conv2D) (None, 6, 6, 2080) 933920 block8_9_mixed[0][0]
__________________________________________________________________________________________________
block8_9 (Lambda) (None, 6, 6, 2080) 0 block8_8_ac[0][0]
block8_9_conv[0][0]
__________________________________________________________________________________________________
block8_9_ac (Activation) (None, 6, 6, 2080) 0 block8_9[0][0]
__________________________________________________________________________________________________
conv2d_200 (Conv2D) (None, 6, 6, 192) 399360 block8_9_ac[0][0]
__________________________________________________________________________________________________
batch_normalization_200 (BatchN (None, 6, 6, 192) 576 conv2d_200[0][0]
__________________________________________________________________________________________________
activation_200 (Activation) (None, 6, 6, 192) 0 batch_normalization_200[0][0]
__________________________________________________________________________________________________
conv2d_201 (Conv2D) (None, 6, 6, 224) 129024 activation_200[0][0]
__________________________________________________________________________________________________
batch_normalization_201 (BatchN (None, 6, 6, 224) 672 conv2d_201[0][0]
__________________________________________________________________________________________________
activation_201 (Activation) (None, 6, 6, 224) 0 batch_normalization_201[0][0]
__________________________________________________________________________________________________
conv2d_199 (Conv2D) (None, 6, 6, 192) 399360 block8_9_ac[0][0]
__________________________________________________________________________________________________
conv2d_202 (Conv2D) (None, 6, 6, 256) 172032 activation_201[0][0]
__________________________________________________________________________________________________
batch_normalization_199 (BatchN (None, 6, 6, 192) 576 conv2d_199[0][0]
__________________________________________________________________________________________________
batch_normalization_202 (BatchN (None, 6, 6, 256) 768 conv2d_202[0][0]
__________________________________________________________________________________________________
activation_199 (Activation) (None, 6, 6, 192) 0 batch_normalization_199[0][0]
__________________________________________________________________________________________________
activation_202 (Activation) (None, 6, 6, 256) 0 batch_normalization_202[0][0]
__________________________________________________________________________________________________
block8_10_mixed (Concatenate) (None, 6, 6, 448) 0 activation_199[0][0]
activation_202[0][0]
__________________________________________________________________________________________________
block8_10_conv (Conv2D) (None, 6, 6, 2080) 933920 block8_10_mixed[0][0]
__________________________________________________________________________________________________
block8_10 (Lambda) (None, 6, 6, 2080) 0 block8_9_ac[0][0]
block8_10_conv[0][0]
__________________________________________________________________________________________________
conv_7b (Conv2D) (None, 6, 6, 1536) 3194880 block8_10[0][0]
__________________________________________________________________________________________________
conv_7b_bn (BatchNormalization) (None, 6, 6, 1536) 4608 conv_7b[0][0]
__________________________________________________________________________________________________
conv_7b_ac (Activation) (None, 6, 6, 1536) 0 conv_7b_bn[0][0]
__________________________________________________________________________________________________
global_average_pool (GlobalAver (None, 1536) 0 conv_7b_ac[0][0]
__________________________________________________________________________________________________
flatten (Flatten) (None, 1536) 0 global_average_pool[0][0]
__________________________________________________________________________________________________
dense_1 (Dense) (None, 256) 393472 flatten[0][0]
__________________________________________________________________________________________________
dropout (Dropout) (None, 256) 0 dense_1[0][0]
__________________________________________________________________________________________________
dense_2 (Dense) (None, 128) 32896 dropout[0][0]
__________________________________________________________________________________________________
dropout_1 (Dropout) (None, 128) 0 dense_2[0][0]
__________________________________________________________________________________________________
dense_3 (Dense) (None, 11) 1419 dropout_1[0][0]
==================================================================================================
Total params: 54,764,523
Trainable params: 54,703,979
Non-trainable params: 60,544
__________________________________________________________________________________________________
In [25]:
# Using early stopping to exit training if validation loss is not decreasing even after certain epochs (patience)
earlystopping = EarlyStopping(monitor='val_loss', mode='min', verbose=1, patience=20)
# Save the best model with lower validation loss
checkpointer = ModelCheckpoint(filepath="weights_fine.hdf5", verbose=1, save_best_only=True)
In [26]:
# Compile the model
model.compile(loss = 'categorical_crossentropy', optimizer = SGD(lr = 0.0001, momentum = 0.9), metrics = ['accuracy'])
In [27]:
# This will take endless time to train, I already have pre-trained model for this
# # Fine tune the model with very low learning rate
# history = model.fit(train_generator, steps_per_epoch = train_generator.n // 32, epochs = 10, validation_data = validation_generator, validation_steps = validation_generator.n // 32, callbacks = [checkpointer, earlystopping])
Model Evaluation¶
In [28]:
# Load a pretrained weight
model.load_weights('weights_fine.hdf5')
In [30]:
# Evaluate the performance of the model
evaluate = model.evaluate_generator(test_generator, steps = test_generator.n // 32, verbose =1)
# Show accuracy
print('Accuracy Test : {}'.format(evaluate[1]))
99/99 [==============================] - 2529s 26s/step - loss: 0.3532 - accuracy: 0.9015 Accuracy Test : 0.9015151262283325
In [31]:
# Assigning label names to the corresponding indexes
labels = {0:'Bread', 1: 'Dairy product', 2:'Dessert', 3:'Egg', 4:'Fried food', 5:'Meat', 6:'Noodles-Pasta', 7:'Rice', 8:'Seafood', 9:'Soup', 10:'Vegetable-Fruit'}
In [32]:
# Import library
from sklearn.metrics import confusion_matrix, classification_report, accuracy_score
# Creat list # Import cv2
prediction = []
original = []
image = []
count = 0
# loading images and their predictions
for i in os.listdir('./evaluation'):
for item in os.listdir(os.path.join('./evaluation',i)):
# Code to open the image
img= PIL.Image.open(os.path.join('./evaluation',i,item))
# Resizing the image to (256,256)
img = img.resize((256,256))
# Appending image to the image list
image.append(img)
# Converting image to array
img = np.asarray(img, dtype= np.float32)
# Normalizing the image
img = img / 255
# Reshaping the image in to a 4D array
img = img.reshape(-1,256,256,3)
# Making prediction of the model
predict = model.predict(img)
# Getting the index corresponding to the highest value in the prediction
predict = np.argmax(predict)
# Appending the predicted class to the list
prediction.append(labels[predict])
# Appending original class to the list
original.append(i)
In [33]:
# Visualizing the results
import random
fig = plt.figure(figsize = (100,100))
for i in range(20):
j = random.randint(0,len(image))
fig.add_subplot(20,1,i+1)
plt.xlabel("Prediction -" + prediction[j] +" Original -" + original[j])
plt.imshow(image[j])
fig.tight_layout()
plt.show()
In [36]:
# Classification report
print(classification_report(np.asarray(original), np.array(prediction)))
precision recall f1-score support
Bread 0.80 0.92 0.86 203
Dairy product 0.83 0.70 0.76 148
Dessert 0.86 0.86 0.86 500
Egg 0.91 0.87 0.89 335
Fried food 0.93 0.89 0.91 287
Meat 0.91 0.92 0.92 432
Noodles-Pasta 1.00 0.99 0.99 147
Rice 0.95 0.96 0.95 96
Seafood 0.93 0.91 0.92 303
Soup 0.97 0.97 0.97 499
Vegetable-Fruit 0.87 0.96 0.91 230
accuracy 0.91 3180
macro avg 0.90 0.90 0.90 3180
weighted avg 0.91 0.91 0.91 3180
In [38]:
# Plot confusion matrix
plt.figure(figsize=(20,20))
cm = confusion_matrix(np.asarray(original), np.asarray(prediction))
ax = plt.subplot()
sns.heatmap(cm, annot = True, ax = ax)
# Plot label
ax.set_xlabel('Predicted')
ax.set_ylabel('Original')
ax.set_title('Confusion_matrix')
plt.show()
Conclusion¶
The Inception-ResNet-v2 architecture is more accurate than previous state of the art models. Although this architecture obtained a really good accurate score, it has about 54 millions trainable parameter which may take up a really long time to finish the model training. For improvement, the Xception Model can also be use as pre-trained weights. Xception model can be used for prediction, feature extraction, and fine-tuning, with a 22,910,480 trainable parameters with 95% top accuracy.