Building a GAN From Scratch With PyTorch - Theory + Implementation

Dive into a comprehensive 32-minute video tutorial on building a Generative Adversarial Network (GAN) from scratch using PyTorch and PyTorch Lightning. Explore GAN theory, set up PyTorch Lightning, implement the Generator and Discriminator components, and learn the intricacies of GAN training. Follow along with provided starter code in Google Colab and leverage additional resources for deeper understanding. Conclude with testing your newly created GAN model and gain practical insights into machine learning and deep learning concepts.

Intro
GAN Theory
PyTorch Lightning Setup
Generator + Discriminator
GAN Training
Testing