Introduction to Generative Adversarial Networks with PyTorch

Introduction to Generative Adversarial Networks with PyTorch

Master the basic building blocks of modern generative adversarial networks with a unique course that reviews the most recent research papers in GANs and at the same time gives the learner a very detailed hands-on experience in the topic. Start by learning the very basics of how GANs work and incrementally learn more cleverly crafted techniques that enhance your models from the basic GANs towards the more advanced Progressive Growing of GANs. On the journey, you shall learn a fair amount of deep learning concepts with an adequate discussion of the mathematics behind the modern models.

A comprehensive course on GANs including state of the art methods, recent techniques, and step-by-step hands-on projects

Url: View Details

What you will learn

• How Generative Adversarial Networks work internally
• How to implement state of the art GANs techniques and methods using PyTorch
• How to improve the training stability of GANs

Rating: 4.25

Level: Intermediate Level

Duration: 6 hours

Instructor: Mustafa Qamaruddin