Details
NIPS 2016 Tutorial: Generative Adversarial Networks
|
This is a ArXiv report summarizing the tutorial presented by Ian Goodfellow 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. |
deep learning, machine learning, ai |
Submitted by elementlist on Jan 03, 2017 |
385 views. Averaging 0 views per day. |
Please login or register if you wish to leave a comment.
Submit
New Links
Most Popular
Quick Search
Statistics
3,012 listings in 21 categories, with 2,256,531 clicks. Directory last updated Sep 12, 2023.
Welcome Amara Fatima, the newest member.
Comments on NIPS 2016 Tutorial: Generative Adversarial Networks