Hands-On Deep Learning Algorithms with Python

Constructing an InfoGAN in TensorFlow

We will better understand InfoGANs by implementing them in TensorFlow step by step. We will use the MNIST dataset and learn how the InfoGAN infers the code automatically based on the generator output. We build an Info-DCGAN; that is, we use convolutional layers in the generator and discriminator instead of a vanilla neural network.

First, we will import all the necessary libraries:

import warningswarnings.filterwarnings('ignore')import numpy as npimport tensorflow as tffrom tensorflow.examples.tutorials.mnist import input_datatf.logging.set_verbosity(tf.logging.ERROR)import matplotlib.pyplot as plt%matplotlib ...