##Overview
This is the code for this video on Youtube by Siraj Raval part of the Udacity Deep Learning nanodegree. We use a Recurrent neural network to learn the mapping between two binary sequences. We'll learn how memory operates in a recurrent net in this notebook.
##Dependencies
- tensorflow
- matplotlib
- numpy
install dependencies with pip
##Usage
Run this using jupyter notebook.
Just type jupyter notebook in the main directory and the code will pop up in a browser window.
##Credits
Credits go to 3h4. I've merely created a wrapper to get people started.