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Making GANs practical

Podcast |: Practical AI: Machine Learning, Data Science
Publisher |: Changelog Media
Media Type |: audio
Podknife tags |: Artificial Intelligence,; Business,; Data Science,; Interview,; Machine Learning,; Tech News,; Technology
Categories Via RSS |: Software How-To,; Tech News,; Technology
Publication Date |: Dec 02, 2019
Episode Duration |: 00:59:04

Description
Content Encoded

GANs are at the center of AI hype. However, they are also starting to be extremely practical and be used to develop solutions to real problems. Jakub Langr and Vladimir Bok join us for a deep dive into GANs and their application. We discuss the basics of GANs, their various flavors, and open research problems.

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Featuring:

Jakub Langr – Twitter, GitHub, LinkedIn, Website
Vladimir Bok – Twitter, GitHub, LinkedIn, Website
Chris Benson – Twitter, GitHub, LinkedIn, Website
Daniel Whitenack – Twitter, GitHub, Website

Show Notes:

generative-adversarial-nets.pdf">Ian Goodfellow NeurIPS paper 2014
GAN TTS

Books

“GANs in Action” by Jakub Langr and Vladimir Bok

Something missing or broken? ai-67.md">PRs welcome!

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