Math insights for InfoGANs, VAEGANs, CycleGAN and more ( Generative adversarial networks papers )





The interactive transcript could not be loaded.


Rating is available when the video has been rented.
This feature is not available right now. Please try again later.
Published on Jul 16, 2018

Guys, here's my long-awaited mashup of 10 different GANs(Generative Adversarial Networks) papers with not soo cool rapping :p. The focus is on math intuition which is driving the paper. So enjoy and share it with your nerdy and not so nerdy friends.

Minor Mistake :
In CycleGANs, at 7 minute 20 second, the mapping needs to be reverse on right side.

Please consider supporting the channel on Patreon page :

Thanks to my current patrons for supporting the work :
1. Parth Parikh
2. Laher .D
3. Sean Marrett
The video covers :
1. InfoGANs https://youtu.be/r3L3JT_TLTM?t=68
2. Relativistic GANs https://youtu.be/r3L3JT_TLTM?t=203
3. CycleGANs https://youtu.be/r3L3JT_TLTM?t=388
4. SAGANs https://youtu.be/r3L3JT_TLTM?t=477
5. Progressive GANs https://youtu.be/r3L3JT_TLTM?t=547
6. DCGANs https://youtu.be/r3L3JT_TLTM?t=627
7. WGANs https://youtu.be/r3L3JT_TLTM?t=763
8. BEGANs https://youtu.be/r3L3JT_TLTM?t=834
9. VAEGANs https://youtu.be/r3L3JT_TLTM?t=971
10. Seq GANs https://youtu.be/r3L3JT_TLTM?t=1061

For having two-sided live discussion, we also organize google hangouts on the meetup. You might wanna join it: https://www.meetup.com/crazymuse/
Arxiv Links :

1. InfoGANs https://arxiv.org/abs/1606.03657
2. Relativistic GANs https://arxiv.org/abs/1807.00734
3. CycleGANs https://arxiv.org/abs/1703.10593
4. SAGANs https://arxiv.org/abs/1805.08318
5. Progressive GANs https://arxiv.org/abs/1710.10196
6. DCGANs https://arxiv.org/abs/1511.06434
7. WGANs https://arxiv.org/abs/1701.07875
8. BEGANs https://arxiv.org/abs/1703.10717
9. VAEGANs https://arxiv.org/abs/1512.09300
10. Seq GANs https://arxiv.org/abs/1609.05473

Personal Anecdotes

Blogs by Marie, ( https://twitter.com/decodyng) inspire me to make relatable content. Her blogs make math intuitions in GANs look extremely simple without big terms. ( https://docs.google.com/document/d/1S... )
Blog by vincent ( https://vincentherrmann.github.io/blo... ) is a must read for people interested in math intuition behind WGANs.

Best youtube channel for understing ML is . . . Arxiv Insights. I love this channel a lot because it talks about math intuitions and digs deep into a topic, which is precicely what a researcher likes. Subscribe this channel too : https://www.youtube.com/channel/UCNIk...

Cool then. So like every youtube, my parting words would be: subscribe the channel, press the bell icon and share the video :D

See ya next time homie :)


When autoplay is enabled, a suggested video will automatically play next.

Up next

to add this to Watch Later

Add to

Loading playlists...