In this next part of the Deep Learning series, we will explain how a Generative Adversarial Network (GAN) model works and use PyTorch for a practical demonstration to generate synthetic (fake) images of digits that mimic the real images from the MNIST dataset.
Here is the link to the article on Deep Learning using GAN:
Deep Learning – Generative Adversarial Network
Enjoy 🙂 !!!