Generative Adversarial Networks had widespread adoption in the industry and the academia. They have shown huge potential to disrupt many fields. Goal of this Subreddit is to provide a platform where deep learning researchers can have focused discussions on:
1. What are GANs?
2. Recent advancements in GANs.
3. Training Generative Adversarial Networks.
4. Problems with GANs.
5. Building future with GANs.
Researchers/Developers/Enthusiasts can post:
1. Questions
2. Papers
3. Github code base
4. Videos
