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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I ran into a few errors but I’m pretty sure it’s because I was doing something wrong. Where’s the best place to post for discussion/pointers once I inevitably get stuck? Github issue?
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If it's something you think is useful for others, sure that'd probably be the best place. Otherwise feel free to dm me!
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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