Podknife - GANs Can Be Interpretable by Data Skeptic

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GANs Can Be Interpretable

Podcast |: Data Skeptic
Publisher |: Kyle Polich
Media Type |: audio
Podknife tags |: Artificial Intelligence,; Data Science,; Interview,; Natural Sciences,; Science & Medicine,; Technology
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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