CycleGAN in TensorFlow

In this section, we will implement a CycleGAN in TensorFlow. The CycleGAN requires a special dataset, a paired dataset, from one domain of images to another domain. So, besides the necessary modules, we will use tensorflow_datasets as well. Also, we will make use of the library tensorflow_examples, we will directly use the generator and the discriminator from the pix2pix model defined in tensorflow_examples. The code here is adapted from the code here https://github.com/tensorflow/docs/blob/master/site/en/tutorials/generative/cyclegan.ipynb:

import tensorflow_datasets as tfds
from tensorflow_examples.models.pix2pix import pix2pix
import os
import time
import matplotlib.pyplot as plt
from IPython.display import clear_output
import tensorflow as tf

TensorFlow’s Dataset API contains a list of datasets. It has many paired datasets for CycleGANs, such as horse to zebra, apples to oranges, and so on. You can access the complete list here: https://www...