Almost everyone is aware of some sort of idea of machine learning. People have seen the successes of deep learning. But, with that, there has been a loss in interpretation of models such as deep neural networks. In this project, I and Prateek Garg aim to understand some theory and implement some ideas to try to answer the question of interpretability.

The work can be found here.