Implementation of Xception Model
Imports
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import tensorflow as tf
import numpy as npmodels = tf.contrib.keras.models
layers = tf.contrib.keras.layers
initializers = tf.contrib.keras.initializers
regularizers = tf.contrib.keras.regularizersXception Model
Convolution Block
def conv_block(x, filters, block_num, conv_num, strides=(1,1)):
name = 'block{}_conv{}_'.format(block_num, conv_num)
# conv-BN-relu
x = layers.Conv2D(filters, (3,3), strides=(2,2), use_bias=False, name=name)(x)
x = layers.BatchNormalization(name=name+'bn')(x)
x = layers.Activation('relu', name=name+'act')(x)
return xSeparable Convolution Block
def separable_conv_block(x, filters, block_num, conv_num, pre_activation=None):
name = 'block{}_sepconv{}_'.format(block_num, conv_num)
if pre_activation is True:
x = layers.Activation('relu', name=name+'act')(x)
# (relu)-sepconv-BN-(relu)
x = layers.SeparableConv2D(filters, (3,3), padding='same', use_bias=False, name=name)(x)
x = layers.BatchNormalization(name=name+'bn')(x)
if pre_activation is False:
x = layers.Activation('relu', name=name+'act')(x)
return xMiddle Flow Block
def middle_flow_block(x, filters, block_num):
# middle flow
residual = x
x = separable_conv_block(x, filters, block_num=block_num, conv_num='1', pre_activation=True)
x = separable_conv_block(x, filters, block_num=block_num, conv_num='2', pre_activation=True)
x = separable_conv_block(x, filters, block_num=block_num, conv_num='3', pre_activation=True)
return layers.add([x, residual])Xception Block
def xception_block(x, filters, block_num, pre_activation=True):
block = 'block{}_'.format(block_num)
filter_conv1, filter_conv2 = filters
# residual conv branch
residual = layers.Conv2D(filter_conv2, (1, 1), strides=(2, 2),padding='same', use_bias=False)(x)
residual = layers.BatchNormalization()(residual)
# separable conv block
x = separable_conv_block(x, filter_conv1, block_num=block_num, conv_num='1', pre_activation=pre_activation)
x = separable_conv_block(x, filter_conv2, block_num=block_num, conv_num='2', pre_activation=True)
# downsampling and merging
x = layers.MaxPooling2D((3, 3), strides=(2, 2), padding='same', name=block+'pool')(x)
return layers.add([x, residual])Entry Flow
#===========ENTRY FLOW==============
#Block 1
x = conv_block(img_input, 32, block_num='1', conv_num='1', strides=(2,2))
x = conv_block(x, 64, block_num='1', conv_num='2')
#Block 2
x = xception_block(x, (128, 128), '2', pre_activation=False)
#Block 3
x = xception_block(x, (256, 256), '3')
#Block 4
x = xception_block(x, (728, 728), '4')Middle Flow
#===========MIDDLE FLOW===============
for i in range(8):
block_num = str(5+i)
x = middle_flow_block(x, 728, block_num)Exit Flow
#========EXIT FLOW============
#Block 13
x = xception_block(x, (728, 1024), '13') # second conv is different
# Block 14
x = separable_conv_block(x, 1536, block_num='14', conv_num='1', pre_activation=False)
x = separable_conv_block(x, 2048, block_num='14', conv_num='2', pre_activation=False)
# logistic regression
x = layers.GlobalAveragePooling2D(name='avg_pool')(x)
x = layers.Dense(classes, activation='softmax', name='predictions')(x)Full Xception Model
def Xception(input_shape=(299,299,3), classes=1000):
"""Instantiates the Xception architecture.
"""
img_input = layers.Input(shape=input_shape)
#===========ENTRY FLOW==============
#Block 1
x = conv_block(img_input, 32, block_num='1', conv_num='1', strides=(2,2))
x = conv_block(x, 64, block_num='1', conv_num='2')
#Block 2
x = xception_block(x, (128, 128), '2', pre_activation=False)
#Block 3
x = xception_block(x, (256, 256), '3')
#Block 4
x = xception_block(x, (728, 728), '4')
#===========MIDDLE FLOW===============
for i in range(8):
block_num = str(5+i)
x = middle_flow_block(x, 728, block_num)
#========EXIT FLOW============
#Block 13
x = xception_block(x, (728, 1024), '13') # second conv is different
# Block 14
x = separable_conv_block(x, 1536, block_num='14', conv_num='1', pre_activation=False)
x = separable_conv_block(x, 2048, block_num='14', conv_num='2', pre_activation=False)
# logistic regression
x = layers.GlobalAveragePooling2D(name='avg_pool')(x)
x = layers.Dense(classes, activation='softmax', name='predictions')(x)
# Create model.
model = models.Model(inputs=img_input, outputs=x, name='xception')
return modelxception = Xception()
xception.summary()Layer (type) Output Shape Param # Connected to
====================================================================================================
input_1 (InputLayer) (None, 299, 299, 3) 0
____________________________________________________________________________________________________
block1_conv1_ (Conv2D) (None, 149, 149, 32) 864 input_1[0][0]
____________________________________________________________________________________________________
block1_conv1_bn (BatchNormalizat (None, 149, 149, 32) 128 block1_conv1_[0][0]
____________________________________________________________________________________________________
block1_conv1_act (Activation) (None, 149, 149, 32) 0 block1_conv1_bn[0][0]
____________________________________________________________________________________________________
block1_conv2_ (Conv2D) (None, 147, 147, 64) 18432 block1_conv1_act[0][0]
____________________________________________________________________________________________________
block1_conv2_bn (BatchNormalizat (None, 147, 147, 64) 256 block1_conv2_[0][0]
____________________________________________________________________________________________________
block1_conv2_act (Activation) (None, 147, 147, 64) 0 block1_conv2_bn[0][0]
____________________________________________________________________________________________________
block2_sepconv1_act (Activation) (None, 147, 147, 64) 0 block1_conv2_act[0][0]
____________________________________________________________________________________________________
block2_sepconv1_ (SeparableConv2 (None, 147, 147, 128) 8768 block2_sepconv1_act[0][0]
____________________________________________________________________________________________________
block2_sepconv1_bn (BatchNormali (None, 147, 147, 128) 512 block2_sepconv1_[0][0]
____________________________________________________________________________________________________
block2_sepconv2_act (Activation) (None, 147, 147, 128) 0 block2_sepconv1_bn[0][0]
____________________________________________________________________________________________________
block2_sepconv2_ (SeparableConv2 (None, 147, 147, 128) 17536 block2_sepconv2_act[0][0]
____________________________________________________________________________________________________
block2_sepconv2_bn (BatchNormali (None, 147, 147, 128) 512 block2_sepconv2_[0][0]
____________________________________________________________________________________________________
conv2d_1 (Conv2D) (None, 74, 74, 128) 8192 block1_conv2_act[0][0]
____________________________________________________________________________________________________
block2_pool (MaxPooling2D) (None, 74, 74, 128) 0 block2_sepconv2_bn[0][0]
____________________________________________________________________________________________________
batch_normalization_1 (BatchNorm (None, 74, 74, 128) 512 conv2d_1[0][0]
____________________________________________________________________________________________________
add_1 (Add) (None, 74, 74, 128) 0 block2_pool[0][0]
batch_normalization_1[0][0]
____________________________________________________________________________________________________
block3_sepconv1_act (Activation) (None, 74, 74, 128) 0 add_1[0][0]
____________________________________________________________________________________________________
block3_sepconv1_ (SeparableConv2 (None, 74, 74, 256) 33920 block3_sepconv1_act[0][0]
____________________________________________________________________________________________________
block3_sepconv1_bn (BatchNormali (None, 74, 74, 256) 1024 block3_sepconv1_[0][0]
____________________________________________________________________________________________________
block3_sepconv2_act (Activation) (None, 74, 74, 256) 0 block3_sepconv1_bn[0][0]
____________________________________________________________________________________________________
block3_sepconv2_ (SeparableConv2 (None, 74, 74, 256) 67840 block3_sepconv2_act[0][0]
____________________________________________________________________________________________________
block3_sepconv2_bn (BatchNormali (None, 74, 74, 256) 1024 block3_sepconv2_[0][0]
____________________________________________________________________________________________________
conv2d_2 (Conv2D) (None, 37, 37, 256) 32768 add_1[0][0]
____________________________________________________________________________________________________
block3_pool (MaxPooling2D) (None, 37, 37, 256) 0 block3_sepconv2_bn[0][0]
____________________________________________________________________________________________________
batch_normalization_2 (BatchNorm (None, 37, 37, 256) 1024 conv2d_2[0][0]
____________________________________________________________________________________________________
add_2 (Add) (None, 37, 37, 256) 0 block3_pool[0][0]
batch_normalization_2[0][0]
____________________________________________________________________________________________________
block4_sepconv1_act (Activation) (None, 37, 37, 256) 0 add_2[0][0]
____________________________________________________________________________________________________
block4_sepconv1_ (SeparableConv2 (None, 37, 37, 728) 188672 block4_sepconv1_act[0][0]
____________________________________________________________________________________________________
block4_sepconv1_bn (BatchNormali (None, 37, 37, 728) 2912 block4_sepconv1_[0][0]
____________________________________________________________________________________________________
block4_sepconv2_act (Activation) (None, 37, 37, 728) 0 block4_sepconv1_bn[0][0]
____________________________________________________________________________________________________
block4_sepconv2_ (SeparableConv2 (None, 37, 37, 728) 536536 block4_sepconv2_act[0][0]
____________________________________________________________________________________________________
block4_sepconv2_bn (BatchNormali (None, 37, 37, 728) 2912 block4_sepconv2_[0][0]
____________________________________________________________________________________________________
conv2d_3 (Conv2D) (None, 19, 19, 728) 186368 add_2[0][0]
____________________________________________________________________________________________________
block4_pool (MaxPooling2D) (None, 19, 19, 728) 0 block4_sepconv2_bn[0][0]
____________________________________________________________________________________________________
batch_normalization_3 (BatchNorm (None, 19, 19, 728) 2912 conv2d_3[0][0]
____________________________________________________________________________________________________
add_3 (Add) (None, 19, 19, 728) 0 block4_pool[0][0]
batch_normalization_3[0][0]
____________________________________________________________________________________________________
block5_sepconv1_act (Activation) (None, 19, 19, 728) 0 add_3[0][0]
____________________________________________________________________________________________________
block5_sepconv1_ (SeparableConv2 (None, 19, 19, 728) 536536 block5_sepconv1_act[0][0]
____________________________________________________________________________________________________
block5_sepconv1_bn (BatchNormali (None, 19, 19, 728) 2912 block5_sepconv1_[0][0]
____________________________________________________________________________________________________
block5_sepconv2_act (Activation) (None, 19, 19, 728) 0 block5_sepconv1_bn[0][0]
____________________________________________________________________________________________________
block5_sepconv2_ (SeparableConv2 (None, 19, 19, 728) 536536 block5_sepconv2_act[0][0]
____________________________________________________________________________________________________
block5_sepconv2_bn (BatchNormali (None, 19, 19, 728) 2912 block5_sepconv2_[0][0]
____________________________________________________________________________________________________
block5_sepconv3_act (Activation) (None, 19, 19, 728) 0 block5_sepconv2_bn[0][0]
____________________________________________________________________________________________________
block5_sepconv3_ (SeparableConv2 (None, 19, 19, 728) 536536 block5_sepconv3_act[0][0]
____________________________________________________________________________________________________
block5_sepconv3_bn (BatchNormali (None, 19, 19, 728) 2912 block5_sepconv3_[0][0]
____________________________________________________________________________________________________
add_4 (Add) (None, 19, 19, 728) 0 block5_sepconv3_bn[0][0]
add_3[0][0]
____________________________________________________________________________________________________
block6_sepconv1_act (Activation) (None, 19, 19, 728) 0 add_4[0][0]
____________________________________________________________________________________________________
block6_sepconv1_ (SeparableConv2 (None, 19, 19, 728) 536536 block6_sepconv1_act[0][0]
____________________________________________________________________________________________________
block6_sepconv1_bn (BatchNormali (None, 19, 19, 728) 2912 block6_sepconv1_[0][0]
____________________________________________________________________________________________________
block6_sepconv2_act (Activation) (None, 19, 19, 728) 0 block6_sepconv1_bn[0][0]
____________________________________________________________________________________________________
block6_sepconv2_ (SeparableConv2 (None, 19, 19, 728) 536536 block6_sepconv2_act[0][0]
____________________________________________________________________________________________________
block6_sepconv2_bn (BatchNormali (None, 19, 19, 728) 2912 block6_sepconv2_[0][0]
____________________________________________________________________________________________________
block6_sepconv3_act (Activation) (None, 19, 19, 728) 0 block6_sepconv2_bn[0][0]
____________________________________________________________________________________________________
block6_sepconv3_ (SeparableConv2 (None, 19, 19, 728) 536536 block6_sepconv3_act[0][0]
____________________________________________________________________________________________________
block6_sepconv3_bn (BatchNormali (None, 19, 19, 728) 2912 block6_sepconv3_[0][0]
____________________________________________________________________________________________________
add_5 (Add) (None, 19, 19, 728) 0 block6_sepconv3_bn[0][0]
add_4[0][0]
____________________________________________________________________________________________________
block7_sepconv1_act (Activation) (None, 19, 19, 728) 0 add_5[0][0]
____________________________________________________________________________________________________
block7_sepconv1_ (SeparableConv2 (None, 19, 19, 728) 536536 block7_sepconv1_act[0][0]
____________________________________________________________________________________________________
block7_sepconv1_bn (BatchNormali (None, 19, 19, 728) 2912 block7_sepconv1_[0][0]
____________________________________________________________________________________________________
block7_sepconv2_act (Activation) (None, 19, 19, 728) 0 block7_sepconv1_bn[0][0]
____________________________________________________________________________________________________
block7_sepconv2_ (SeparableConv2 (None, 19, 19, 728) 536536 block7_sepconv2_act[0][0]
____________________________________________________________________________________________________
block7_sepconv2_bn (BatchNormali (None, 19, 19, 728) 2912 block7_sepconv2_[0][0]
____________________________________________________________________________________________________
block7_sepconv3_act (Activation) (None, 19, 19, 728) 0 block7_sepconv2_bn[0][0]
____________________________________________________________________________________________________
block7_sepconv3_ (SeparableConv2 (None, 19, 19, 728) 536536 block7_sepconv3_act[0][0]
____________________________________________________________________________________________________
block7_sepconv3_bn (BatchNormali (None, 19, 19, 728) 2912 block7_sepconv3_[0][0]
____________________________________________________________________________________________________
add_6 (Add) (None, 19, 19, 728) 0 block7_sepconv3_bn[0][0]
add_5[0][0]
____________________________________________________________________________________________________
block8_sepconv1_act (Activation) (None, 19, 19, 728) 0 add_6[0][0]
____________________________________________________________________________________________________
block8_sepconv1_ (SeparableConv2 (None, 19, 19, 728) 536536 block8_sepconv1_act[0][0]
____________________________________________________________________________________________________
block8_sepconv1_bn (BatchNormali (None, 19, 19, 728) 2912 block8_sepconv1_[0][0]
____________________________________________________________________________________________________
block8_sepconv2_act (Activation) (None, 19, 19, 728) 0 block8_sepconv1_bn[0][0]
____________________________________________________________________________________________________
block8_sepconv2_ (SeparableConv2 (None, 19, 19, 728) 536536 block8_sepconv2_act[0][0]
____________________________________________________________________________________________________
block8_sepconv2_bn (BatchNormali (None, 19, 19, 728) 2912 block8_sepconv2_[0][0]
____________________________________________________________________________________________________
block8_sepconv3_act (Activation) (None, 19, 19, 728) 0 block8_sepconv2_bn[0][0]
____________________________________________________________________________________________________
block8_sepconv3_ (SeparableConv2 (None, 19, 19, 728) 536536 block8_sepconv3_act[0][0]
____________________________________________________________________________________________________
block8_sepconv3_bn (BatchNormali (None, 19, 19, 728) 2912 block8_sepconv3_[0][0]
____________________________________________________________________________________________________
add_7 (Add) (None, 19, 19, 728) 0 block8_sepconv3_bn[0][0]
add_6[0][0]
____________________________________________________________________________________________________
block9_sepconv1_act (Activation) (None, 19, 19, 728) 0 add_7[0][0]
____________________________________________________________________________________________________
block9_sepconv1_ (SeparableConv2 (None, 19, 19, 728) 536536 block9_sepconv1_act[0][0]
____________________________________________________________________________________________________
block9_sepconv1_bn (BatchNormali (None, 19, 19, 728) 2912 block9_sepconv1_[0][0]
____________________________________________________________________________________________________
block9_sepconv2_act (Activation) (None, 19, 19, 728) 0 block9_sepconv1_bn[0][0]
____________________________________________________________________________________________________
block9_sepconv2_ (SeparableConv2 (None, 19, 19, 728) 536536 block9_sepconv2_act[0][0]
____________________________________________________________________________________________________
block9_sepconv2_bn (BatchNormali (None, 19, 19, 728) 2912 block9_sepconv2_[0][0]
____________________________________________________________________________________________________
block9_sepconv3_act (Activation) (None, 19, 19, 728) 0 block9_sepconv2_bn[0][0]
____________________________________________________________________________________________________
block9_sepconv3_ (SeparableConv2 (None, 19, 19, 728) 536536 block9_sepconv3_act[0][0]
____________________________________________________________________________________________________
block9_sepconv3_bn (BatchNormali (None, 19, 19, 728) 2912 block9_sepconv3_[0][0]
____________________________________________________________________________________________________
add_8 (Add) (None, 19, 19, 728) 0 block9_sepconv3_bn[0][0]
add_7[0][0]
____________________________________________________________________________________________________
block10_sepconv1_act (Activation (None, 19, 19, 728) 0 add_8[0][0]
____________________________________________________________________________________________________
block10_sepconv1_ (SeparableConv (None, 19, 19, 728) 536536 block10_sepconv1_act[0][0]
____________________________________________________________________________________________________
block10_sepconv1_bn (BatchNormal (None, 19, 19, 728) 2912 block10_sepconv1_[0][0]
____________________________________________________________________________________________________
block10_sepconv2_act (Activation (None, 19, 19, 728) 0 block10_sepconv1_bn[0][0]
____________________________________________________________________________________________________
block10_sepconv2_ (SeparableConv (None, 19, 19, 728) 536536 block10_sepconv2_act[0][0]
____________________________________________________________________________________________________
block10_sepconv2_bn (BatchNormal (None, 19, 19, 728) 2912 block10_sepconv2_[0][0]
____________________________________________________________________________________________________
block10_sepconv3_act (Activation (None, 19, 19, 728) 0 block10_sepconv2_bn[0][0]
____________________________________________________________________________________________________
block10_sepconv3_ (SeparableConv (None, 19, 19, 728) 536536 block10_sepconv3_act[0][0]
____________________________________________________________________________________________________
block10_sepconv3_bn (BatchNormal (None, 19, 19, 728) 2912 block10_sepconv3_[0][0]
____________________________________________________________________________________________________
add_9 (Add) (None, 19, 19, 728) 0 block10_sepconv3_bn[0][0]
add_8[0][0]
____________________________________________________________________________________________________
block11_sepconv1_act (Activation (None, 19, 19, 728) 0 add_9[0][0]
____________________________________________________________________________________________________
block11_sepconv1_ (SeparableConv (None, 19, 19, 728) 536536 block11_sepconv1_act[0][0]
____________________________________________________________________________________________________
block11_sepconv1_bn (BatchNormal (None, 19, 19, 728) 2912 block11_sepconv1_[0][0]
____________________________________________________________________________________________________
block11_sepconv2_act (Activation (None, 19, 19, 728) 0 block11_sepconv1_bn[0][0]
____________________________________________________________________________________________________
block11_sepconv2_ (SeparableConv (None, 19, 19, 728) 536536 block11_sepconv2_act[0][0]
____________________________________________________________________________________________________
block11_sepconv2_bn (BatchNormal (None, 19, 19, 728) 2912 block11_sepconv2_[0][0]
____________________________________________________________________________________________________
block11_sepconv3_act (Activation (None, 19, 19, 728) 0 block11_sepconv2_bn[0][0]
____________________________________________________________________________________________________
block11_sepconv3_ (SeparableConv (None, 19, 19, 728) 536536 block11_sepconv3_act[0][0]
____________________________________________________________________________________________________
block11_sepconv3_bn (BatchNormal (None, 19, 19, 728) 2912 block11_sepconv3_[0][0]
____________________________________________________________________________________________________
add_10 (Add) (None, 19, 19, 728) 0 block11_sepconv3_bn[0][0]
add_9[0][0]
____________________________________________________________________________________________________
block12_sepconv1_act (Activation (None, 19, 19, 728) 0 add_10[0][0]
____________________________________________________________________________________________________
block12_sepconv1_ (SeparableConv (None, 19, 19, 728) 536536 block12_sepconv1_act[0][0]
____________________________________________________________________________________________________
block12_sepconv1_bn (BatchNormal (None, 19, 19, 728) 2912 block12_sepconv1_[0][0]
____________________________________________________________________________________________________
block12_sepconv2_act (Activation (None, 19, 19, 728) 0 block12_sepconv1_bn[0][0]
____________________________________________________________________________________________________
block12_sepconv2_ (SeparableConv (None, 19, 19, 728) 536536 block12_sepconv2_act[0][0]
____________________________________________________________________________________________________
block12_sepconv2_bn (BatchNormal (None, 19, 19, 728) 2912 block12_sepconv2_[0][0]
____________________________________________________________________________________________________
block12_sepconv3_act (Activation (None, 19, 19, 728) 0 block12_sepconv2_bn[0][0]
____________________________________________________________________________________________________
block12_sepconv3_ (SeparableConv (None, 19, 19, 728) 536536 block12_sepconv3_act[0][0]
____________________________________________________________________________________________________
block12_sepconv3_bn (BatchNormal (None, 19, 19, 728) 2912 block12_sepconv3_[0][0]
____________________________________________________________________________________________________
add_11 (Add) (None, 19, 19, 728) 0 block12_sepconv3_bn[0][0]
add_10[0][0]
____________________________________________________________________________________________________
block13_sepconv1_act (Activation (None, 19, 19, 728) 0 add_11[0][0]
____________________________________________________________________________________________________
block13_sepconv1_ (SeparableConv (None, 19, 19, 728) 536536 block13_sepconv1_act[0][0]
____________________________________________________________________________________________________
block13_sepconv1_bn (BatchNormal (None, 19, 19, 728) 2912 block13_sepconv1_[0][0]
____________________________________________________________________________________________________
block13_sepconv2_act (Activation (None, 19, 19, 728) 0 block13_sepconv1_bn[0][0]
____________________________________________________________________________________________________
block13_sepconv2_ (SeparableConv (None, 19, 19, 1024) 752024 block13_sepconv2_act[0][0]
____________________________________________________________________________________________________
block13_sepconv2_bn (BatchNormal (None, 19, 19, 1024) 4096 block13_sepconv2_[0][0]
____________________________________________________________________________________________________
conv2d_4 (Conv2D) (None, 10, 10, 1024) 745472 add_11[0][0]
____________________________________________________________________________________________________
block13_pool (MaxPooling2D) (None, 10, 10, 1024) 0 block13_sepconv2_bn[0][0]
____________________________________________________________________________________________________
batch_normalization_4 (BatchNorm (None, 10, 10, 1024) 4096 conv2d_4[0][0]
____________________________________________________________________________________________________
add_12 (Add) (None, 10, 10, 1024) 0 block13_pool[0][0]
batch_normalization_4[0][0]
____________________________________________________________________________________________________
block14_sepconv1_ (SeparableConv (None, 10, 10, 1536) 1582080 add_12[0][0]
____________________________________________________________________________________________________
block14_sepconv1_bn (BatchNormal (None, 10, 10, 1536) 6144 block14_sepconv1_[0][0]
____________________________________________________________________________________________________
block14_sepconv1_act (Activation (None, 10, 10, 1536) 0 block14_sepconv1_bn[0][0]
____________________________________________________________________________________________________
block14_sepconv2_ (SeparableConv (None, 10, 10, 2048) 3159552 block14_sepconv1_act[0][0]
____________________________________________________________________________________________________
block14_sepconv2_bn (BatchNormal (None, 10, 10, 2048) 8192 block14_sepconv2_[0][0]
____________________________________________________________________________________________________
block14_sepconv2_act (Activation (None, 10, 10, 2048) 0 block14_sepconv2_bn[0][0]
____________________________________________________________________________________________________
avg_pool (GlobalAveragePooling2D (None, 2048) 0 block14_sepconv2_act[0][0]
____________________________________________________________________________________________________
predictions (Dense) (None, 1000) 2049000 avg_pool[0][0]
====================================================================================================
Total params: 22,910,480
Trainable params: 22,855,952
Non-trainable params: 54,528
____________________________________________________________________________________________________Next Lesson
Train and Evaluate Xception
Image classification task with ImageNet dataset
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