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The derivative of sigmoid is very small when the scores are away from zero, which is why sigmoid activation has all but abandoned in deep learning. In the original GAN, the logarithm of sigmoid is use…
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Hi there.
I was investigating your CycleGAN paper and code. And looks like discriminator you've implemented is just a conv net, not a patchgan that was mentioned in the paper.
Maybe I've missed so…
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Sorry for the lay question but is the objective of these GANs in accord with the original paper?
In the original paper, they seem to be minimizing the log(prob_real)+log(1-prob_fakes); but in most …