GAN_basics

This repository was created in educational purposes and contains the implementation of vanilla GAN in Tensorflow. The code is mostly taken from here with minor changes: https://github.com/uclaacmai/Generative-Adversarial-Network-Tutorial/blob/master/gan_train.py

To gain some theoretical knowledge about GANs I would advise hitting the following links:

1. http://bamos.github.io/2016/08/09/deep-completion/#using-gz-to-produce-fake-images
2. https://www.analyticsvidhya.com/blog/2017/06/introductory-generative-adversarial-networks-gans/
3. https://arxiv.org/pdf/1605.05396.pdf