Advanced Deep Learning with Keras
def encoder_layer(inputs,filters=16,kernel_size=3,strides=2,activation='relu',instance_norm=True):"""Builds a generic encoder layer made of Conv2D-IN-LeakyReLUIN is optional, LeakyReLU may be replaced by ReLU"""conv = Conv2D(filters=filters,kernel_size=kernel_size,strides=strides,padding='same')x = inputsif instance_norm:x = InstanceNormalization()(x)if activation == 'relu':x = Activation('relu')(x)else:x = LeakyReLU(alpha=0.2)(x)x = conv(x)return xWhenever possible, docstring is included. At the very least, text comment is usedto minimize space usage.Any command-line code execution is written as follows:$ python3 dcgan-mnist-4.2.1.pyPrefaceThe example code file naming is: algorithm-dataset-chapter.section.number.py. The command-line example is DCGAN on MNIST dataset in Chapter 4, secondsection and first listing. In some cases, the explicit command line to execute is notwritten but it is assumed to be:$ python3 name-of-the-file-in-listingThe file name of the code example is included in the Listing caption.[ ix ]
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- Page 2 and 3: Advanced Deep Learningwith KerasApp
- Page 4 and 5: mapt.ioMapt is an online digital li
- Page 6 and 7: I would like to thank my family, Ch
- Page 8 and 9: Table of ContentsPrefaceVChapter 1:
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- Page 12 and 13: [ v ]PrefaceIn recent years, deep l
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- Page 48 and 49: Chapter 164-64-64 RMSprop Dropout(0
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def encoder_layer(inputs,
filters=16,
kernel_size=3,
strides=2,
activation='relu',
instance_norm=True):
"""Builds a generic encoder layer made of Conv2D-IN-LeakyReLU
IN is optional, LeakyReLU may be replaced by ReLU
"""
conv = Conv2D(filters=filters,
kernel_size=kernel_size,
strides=strides,
padding='same')
x = inputs
if instance_norm:
x = InstanceNormalization()(x)
if activation == 'relu':
x = Activation('relu')(x)
else:
x = LeakyReLU(alpha=0.2)(x)
x = conv(x)
return x
Whenever possible, docstring is included. At the very least, text comment is used
to minimize space usage.
Any command-line code execution is written as follows:
$ python3 dcgan-mnist-4.2.1.py
Preface
The example code file naming is: algorithm-dataset-chapter.section.number.
py. The command-line example is DCGAN on MNIST dataset in Chapter 4, second
section and first listing. In some cases, the explicit command line to execute is not
written but it is assumed to be:
$ python3 name-of-the-file-in-listing
The file name of the code example is included in the Listing caption.
[ ix ]
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