This boot camp will introduce you to the fundamentals of deep learning. What are deep networks and how do they work? We will start by introducing the key data structures and algorithms used by neural nets. Then we will cover popular architectures that build upon these structures, including convolutional networks, residual networks, and transformers. We will look in detail at how these architectures have been applied to the field of computer vision, and we will also give examples of applications in other areas, such as natural language processing and scientific data analysis. The course will also include a hands on tutorial where you will run and code simple networks in Pytorch in your browser. **PLEASE NOTE: DUE TO A SCHEDULING CONFLICT, THIS SESSION WILL NOW BE TAKING PLACE AT 1:00-4:00 PM.**