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Why the loss of D quickly go down to zero? #12

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Lycheezx opened this issue Sep 18, 2020 · 4 comments
Open

Why the loss of D quickly go down to zero? #12

Lycheezx opened this issue Sep 18, 2020 · 4 comments

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@Lycheezx
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Hello
I ran your code of DCGAN implementation on dataset of MNIST but the quality of the generated images were poor. I have already tried to reduce the learning rate but it didn't work and the result was a far cry from yours. I am new to GAN and feel really confused. Did you change your parameter settings or do some other adjustments? Hope to get some advice from you, thank you very much!

@yuchenlichuck
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Same to you~

@Newbeeer
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Newbeeer commented Apr 8, 2021

Me too. I guess another repo https://github.com/eriklindernoren/PyTorch-GAN makes life much easier :)

@omid-ghozatlou
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The results are really poor. I recommend this repo too.

Me too. I guess another repo https://github.com/eriklindernoren/PyTorch-GAN makes life much easier :)

@Tang-08080103
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The MNIST result of DCGAN is very poor, I thought it was a problem with my environment. This is too bad.

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5 participants