Interpreting neural networks

A few iPython notebooks on interpretation of neural networks

Begin with part 1, which is the introductory narrative and overview, and then move on to part 2, which has code samples.

I recommend viewing these on my web site (GitHub doesn't render output scrolling in Jupyter notebooks), but be sure to download the original .ipynb files to run on your own machine.

Contents

1. Introduction and overview
2. In-depth code samples