The GANs gaussian simulator doesn't converge.

Question

I try to reimplement the Gaussian simulator described in the GANs paper with mxnet.

But there are two problems in my code.

First, the model doesn't converge very well, even after I try to set a learning rate scheduler.

This is how it looks like after about 500 epochs and the accuracy is bouncing around 0.5 ~ 0.6.

Second, I don't know how to draw the output of the discriminative model. The current curve doesn't look like the one described in the paper.

Could anyone please offer any suggestion?

Answer 1

I think I solved the two problems by myself. Now the code in the Github link should be correct.