This repo contains the code for a gan that has been written from the ground up without using any machine learning frameworks like Tensorflow or Torch!
( for more info on the gan, read the ipynb notebook. It contains information oh how to use a single nn class as a classifier, generator and a discriminator and also info on how to backpropagate through stacked fully connected neural networks)