NIPS Tutorial - Generative Adversarial Networks

[leo-p]

https://arxiv.org/pdf/1701.00160.pdf, video and slides.

This report summarizes the tutorial presented by the author at NIPS 2016 on generative adversarial networks (GANs). The tutorial describes: (1) Why generative modeling is a topic worth studying, (2) how generative models work, and how GANs compare to other generative models, (3) the details of how GANs work, (4) research frontiers in GANs, and (5) state-of-the-art image models that combine GANs with other methods. Finally, the tutorial contains three exercises for readers to complete, and the solutions to these exercises.

[leo-p]

Summary:

• Objective: Introduction to GANs by Goodfellow himself plus a lot of tips and tricks.

Deepomatic

A must read for anybody really interested in GANs, see also How to Train a GAN? from NIPS 2016 for even more insights.