GANs Can Be Interpretable
Podcast |
Data Skeptic
Publisher |
Kyle Polich
Media Type |
audio
Categories Via RSS |
Mathematics
Science
Technology
Publication Date |
Jul 11, 2020
Episode Duration |
00:26:39

Erik Härkönen joins us to discuss the paper GANSpace: Discovering Interpretable GAN Controls. During the interview, Kyle makes reference to this amazing interpretable GAN controls video and it’s accompanying codebase found here. Erik mentions the GANspace collab notebook which is a rapid way to try these ideas out for yourself.

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