In this issue we unfold the famous GANs, which stands for generative adversarial networks:

• we explain the concept of GANs; 

• we walk you through the original GANs paper by Ian Goodfellow;

• we discuss TF-GANs, one of the most popular libraries for implementing GANs.

Enjoy the learning!