Comments (3)
But the quality of the generated MNIST is far from satisfactory, How to improve it?
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You need to be quite a lot more specific for anyone to be able to help you. Why isn't the quality as good as expected? What is your experimental setup? How long was the training? Let me know
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@HitLuca I have renamed the 'discriminator' to 'critic' (see 0293a4e) as this is the term they use in the paper. As for the loss I have decided to print the loss of the current iteration in all of the implementations so far. I might change this down the line as it is helpful to see what the loss is over the last 100 iterations or so. But I will keep this as is for now.
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Related Issues (20)
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