Discriminator Over-fitting Issue

[ahmed-fau]

Hello,

Thanks for sharing your implementation of cDCGAN.

I have tried implementing it for MNIST data set following the same steps you did in 'pytorch_MNIST_cDCGAN.py' with same parameter settings except for the batch size (I used 32 instead of 128). Unfortunately, I get unstable results for epochs larger than 5.

Based on your implementation, I cannot find something like label smoothing or arbitrary Gaussian noise addition to the discriminator input images in order to fix the over fitting issues as described here. Have you already used such stabilizing tricks and I couldn't observe in your implementation ?

With many thanks in advance

Best