 Hello and welcome to the final week of deep learning. This will be a pretty lightweight week for the lectures. There'll be no actual homework. There'll be no exercises here. We're going to talk and think about what we learned so far in this course and where deep learning is going. So we're going to talk a little bit about where deep learning works and where it doesn't work, what we've seen overall in terms of why it works, things like invariances and how people are trying to push those. We're going to look at some of the limits to how well it works, talk about things like modularity and causality, and try and picture a little bit what the next five or ten years worth of research will look like. Should be fun, welcome to week 13.