Sometimes one slide is enough!
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 …
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
https://www.fast.ai/2019/05/03/decrappify/ …-
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Thanks. Twitter will use this to make your timeline better. UndoUndo
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I will get round to trying it at some point! Is it set up as a jupyter notebook in Deoldify github?
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NoGAN training is, correct. Just make sure to read the instructions- it's not 100% top down execution.
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A more positive name would be nicer though: positive as in (positive definition of what it is)
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Yeah but it’s funny! That basically was the criteria. Jeremy Howard actually came up with the name and it stuck....
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