This article will demonstrate how to build a Generative Adversarial Network using the Keras library. The dataset used — it is a CIFAR10 Image dataset that is pre-loaded into Keras. You can read about the dataset here .
Step 1: Import the required libraries
Step 2: Load data
Step 3: Define the parameters to be used in subsequent processes
Step 4: Define a utility function to build the generator
Step 5: Define a utility function for building the Discriminator
Step 6: Define a utility function to display generated images
Step 7: Build a Generating Adversarial Network
Step 8: Train the network
Please note that image quality increases with each epoch.
Step 8: Performance Assessment
Network performance will be assessed by visually comparing images from a past era with original images.
a) Printing original images