I swear there will be a proper pdf with math galore for NoGAN eventually. I do think it has a lot of potential for to make training better so for now we can at least tweet and blog about it!https://twitter.com/remykarem/status/1135183936227749888 …
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Shows his no nonsense minimalist streak and (performance over pomp, vigor first rigor next) philosophy I am a fan of
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Some people may misunderstand him as a no math guy but I think he puts math in its right place as greats like Newton did: experience first, explanation next. Without rich repeatable experiences, theory is fantasy.
End of conversation
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NoGAN - a transfer learning technique in GANs:
G - generator
D - discriminator
1. Pretrain G using perceptual loss
2. Save generated imgs from pretrained G
3. Pretrain D as binary classifier
4. Train both G & D in a normal GAN setting