Implementation of GANs research paper.
"Generative adversarial networks are a class of artificial intelligence algorithms used in unsupervised machine learning, implemented by a system of two neural networks contesting with each other in a zero-sum game framework. They were introduced by Ian Goodfellow et al. in 2014"
This implementation tries to produce fake MNIST dataset using GANs.
Python gan.py
