Last week, I was asked to give a guest lecture to students of MECH 383 at McGill University on deep learning and machine learning. I created a slide deck for this lecture, as I could not find anything online that I liked or felt comfortable using given the requirements, which was to introduce these rather complex topics to students with limited computer science experience in a fairly short amount of time. Given this introduction, students would at minimum have a basic understanding of some key concepts if they chose to pursue the topic further in the future.
I opted to use a number of slides from several prominent professors when putting this together, as they are of higher quality than I can produce in the limited time available to me. My thanks to them for allowing me to use their material:
- Prof. Fei-Fei Li, Ranjay Krishna and Danfei Xu
- Prof. Sergey Levine
- Prof. Volodymyr Kuleshov
I would also like to thank several of my friends for providing feedback or resources that helped put this together.
- Nazanin Mohammadi Sepahvand
- Ibtihel Amara
- Raghav Mehta
- Farzaneh Askari
- Olivier St-Martin Cormier