Understanding GANs
Generative Adversarial Networks (GANs) are a revolutionary approach to simulate real-world data. They involve two artificial neural networks contesting with each other in a game. Deep dive into GAN Research.
Getting Started with PyTorch
PyTorch makes building and training GANs intuitive with its dynamic computation graph and Pythonic approach. Learn more on PyTorch Basics.
Hands-on Tutorial
Let's create a simple GAN to generate digits similar to those in the MNIST dataset.