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Regularization Loss Penalty #1

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preyasgarg opened this issue Jan 4, 2019 · 2 comments
Open

Regularization Loss Penalty #1

preyasgarg opened this issue Jan 4, 2019 · 2 comments

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@preyasgarg
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You didn't add the penalty due to the regularization loss while minimizing

@victordibia
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Hi @preyasgarg,

Thanks for the note.
Can you provide more information or context? How much improvement might this penalty provide and expected impact on generated images?

Also, a PR would be welcome ..

V

@preyasgarg
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I think I wasn't clear on the issue, I meant loss due to Batch Norm. It might hel[ your model or will degrade your model. If you don't want either you can use instance Norm.
I have a few other questions:
Were you able to generate images in the first try or you did multiple tries.
Did you take this code form Tensorflow documentation or made it all by yourself (as I am not able to stabilize my GAN models).
Any suggestions on how to stabilize DCGANs?
I can provide a PR if you still want it, it would be a great pleasure for me?
Thanks

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