#007 How to implement GAN Hacks to Train Stable Models?

Highlights: In this post, we are going to learn several hacks that we can use to train stable GAN models. First, we are going to provide a quick recap of the GANs theory, and then, we are going to talk about challenges when training GANs. After that, we will provide solutions for these challenges in Python. So, let's begin with our post. Training Generative Adversarial Networks (GANs), can be quite a challenging task. This is mainly because two networks, discriminator and generator, have to be trained simultaneously.