This course is a comprehensive guide to Generative Adversarial Networks (GANs). The theories are explained in depth and in a friendly manner. After each theoretical lesson, we will dive together into a hands-on session, where we will be learning how to code different types of GANs in PyTorch, which is a very advanced and powerful deep learning framework!

The following topics will be included:

DCGANs

LSGANs

CGANs

CoGANs

SRGANs

CycleGANs

other types of GANs

Each type will include a theoretical and practical session.