Using T-SNE to Visualise how your Deep Model thinks

Deep Learning has given us a new way to think about things. Partially, the reason is that they can be made arbitrarily big, allowing them to have immense capacity, and they can be regularised, preventing overfitting. However, it is not very easy to understand how these models work. In this post, I will show a simple technique that allows somebody to somewhat see what the model is doing. I will go over the individual components, how to use them together, and at the end of the post, I will link to the source code to get started.