Advanced Deep Learning with Keras

Chapter 7
1) Build target and source discriminators
2) Build target and source generators
3) Build the adversarial network
Arguments:
shapes (tuple): source and target shapes
source_name (string): string to be appended on dis/gen models
target_name (string): string to be appended on dis/gen models
kernel_size (int): kernel size for the encoder/decoder or dis/gen
models
patchgan (bool): whether to use patchgan on discriminator
identity (bool): whether to use identity loss
Returns:
(list): 2 generator, 2 discriminator, and 1 adversarial models
"""
source_shape, target_shape = shapes
lr = 2e-4
decay = 6e-8
gt_name = "gen_" + target_name
gs_name = "gen_" + source_name
dt_name = "dis_" + target_name
ds_name = "dis_" + source_name
# build target and source generators
g_target = build_generator(source_shape,
target_shape,
kernel_size=kernel_size,
name=gt_name)
g_source = build_generator(target_shape,
source_shape,
kernel_size=kernel_size,
name=gs_name)
print('---- TARGET GENERATOR ----')
g_target.summary()
print('---- SOURCE GENERATOR ----')
g_source.summary()
# build target and source discriminators
d_target = build_discriminator(target_shape,
patchgan=patchgan,
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