The Complete GANs Bootcamp: Theory and Applications
Master Generative Adversarial Networks (GANs) in no time
Description
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.
What You Will Learn!
- Understand all the theoretical aspects in Generative Adversarial Networks (GANs)
- Master the practical skills in coding the Generative Adversarial Networks (GANs)
Who Should Attend!
- curious about data sciences, neural networks, and deep learning