Nvidia published a recent paper that detailed a system able to progressively grow the architecture of a generative adversarial network during the training phase. This network was able to produce images nearing photorealism at a faster pace than previous models, pretty exciting stuff! I'll explain how it works both in theory and code in this video.
Code for this video:
https://github.com/llSourcell/Progres...
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Code for this video:
https://github.com/llSourcell/Progres...
Please Subscribe! And like. And comment. That's what keeps me going.
Want more education? Connect with me here:
Twitter: https://twitter.com/sirajraval
Facebook: https://www.facebook.com/sirajology
instagram: https://www.instagram.com/sirajraval
More learning resources:
https://www.youtube.com/watch?v=yz6dN...
https://www.youtube.com/watch?v=Sw9r8...
https://www.youtube.com/watch?v=HN9NR...
https://www.youtube.com/watch?v=deyOX...
https://www.youtube.com/watch?v=5WoIt...
Join us in the Wizards Slack channel:
http://wizards.herokuapp.com/
And please support me on Patreon:
https://www.patreon.com/user?u=3191693
Signup for my newsletter for exciting updates in the field of AI:
https://goo.gl/FZzJ5w
Generative Artificial Intelligence | |
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Education | Upload TimePublished on 23 Feb 2018 |
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