Generative Adversarial Networks

This repository contains the code for Generative Adversarial Network for 1-D Input sample using Python 3 and Tensorflow.

Requirements

1. Tensorflow
2. Numpy
3. Scipy

Outputs:

1. Gaussian Input

2. Initial Decision Boundary

3. Loss Function

4. Training Loss

Resources

S.No.	Papers / Blogs / Authors	Paper Links
1.	"Generative Adversarial Networks" by Ian Goodfellow	https://arxiv.org/abs/1406.2661
2.	Eric Jang's Blog on Generative Adversarial Networks	http://blog.evjang.com/2016/06/generative-adversarial-nets-in.html
3.	"NIPS 2016 Tutorial: Generative Adversarial Networks"	https://arxiv.org/abs/1701.00160