This repository is not maintained! I highly recommend you use a better maintained and up to date library such as: https://github.com/eriklindernoren/Keras-GAN
This module includes a GAN implementation in Keras for the MNIST data set See full article @ https://oshearesearch.com/index.php/2016/07/01/mnist-generative-adversarial-model-in-keras/
I tend to find the having a larger (faster) learning rate on the discrimintive model leads to better results than keeping them equal in the discriminitive and generative training tasks. Would be curious to hear from others who are familiar with GAN tuning here. When training with imbalanced learning rates like this, discriminitive loss stays pretty low, and the discriminitive model generally stays ahead of discriminatring new strange represenentations from the generative model.