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
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Step 2: Load data
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Step 3: Define the parameters to be used in subsequent processes
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Step 4: Define a utility function to build the generator
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Step 5: Define a utility function for building the Discriminator
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Step 6: Define a utility function to display generated images
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Step 7: Build a Generating Adversarial Network
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Step 8: Train the network
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Age 0:
Epoch 2500:
Epoch 5000:
Epoch 7500:
Epoch 10000:
Epoch 12500:
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
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