/stat453-deep-learning-ss20

STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2020)

Primary LanguageJupyter NotebookMIT LicenseMIT

STAT 453: Introduction to Deep Learning and Generative Models

Course Website: http://pages.stat.wisc.edu/~sraschka/teaching/stat453-ss2020/

Topics Summary (Planned)

Below is a list of the topics I am planning to cover. Note that while these topics are numerated by lectures, note that some lectures are longer or shorter than others. Also, we may skip over certain topics in favor of others if time is a concern. While this section provides an overview of potential topics to be covered, the actual topics will be listed in the course calendar at the bottom of the course website.

Part 1: Introduction

Part 2: Mathematical and computational foundations

Part 3: Introduction to neural networks

Part 4: Deep learning for computer vision and language modeling

Part 5: Deep generative models

Part 6: Class projects and final exam

  • Student project presentations 1 [ Recording ]
  • Student project presentations 2
  • Student project presentations 3
  • Final exam
  • Final report (online submission)