Hands-On Deep Learning Algorithms with Python

Are we minimizing JS divergence in GANs?

We know that generators try to learn the real data distribution, ,so that it can generate new samples from the learned distribution, , and the discriminator tells us whether the image is from a real or fake distribution.

We also learned that when , then the discriminator cannot tell us whether the image is from a real or a fake distribution. It just outputs 0.5 because it cannot differentiate between