Hands-On Generative Adversarial Networks with PyTorch 1.x

Analyzing the problems with vanilla GAN loss

Let's go over the commonly used loss functions for GANs (which have already appeared in previous chapters):

• , which is the vanilla form of GAN loss
• 
• 

The experimental results in previous chapters have already shown that these loss functions work well in several applications. However, let's dig deep into these functions and see what could go wrong when they don't work so well:

Step 1: Problems with ...