Generative Adversarial Networks Projects

Keras implementation of CycleGAN

As discussed earlier in this chapter in the An Introduction to CycleGANs section, CycleGANs have two network architectures, a generator and a discriminator network. In this section, we will write the implementation for all the networks.

Before starting to write the implementations, however, create a Python file, main.py, and import the essential modules, as follows:

from glob import globimport matplotlib.pyplot as pltimport numpy as npimport tensorflow as tffrom keras import Input, Modelfrom keras.layers import Conv2D, BatchNormalization, Activation, Add, Conv2DTranspose, \    ZeroPadding2D, LeakyReLUfrom keras.optimizers import Adamfrom keras_contrib.layers import InstanceNormalizationfrom scipy.misc import ...