Math for Deep Learning — Andreas Geiger
18 videos • 68,885 views • by Tübingen Machine Learning Lecture: Math for Deep Learning (MaDL) A Short Guided Tour on Linear Algebra and Probability Theory (Prof. Andreas Geiger, University of Tübingen) Course Website with Slides: https://uni-tuebingen.de/de/241678 This course recapitulates briefly the most important mathematical principles for the deep learning, computer vision and self-driving cars lectures, in particular: - linear algebra - differential/vector calculus - probability theory - information theory While these topics are discussed in-depth in the respective undergraduate math courses, here we only provide a quick walk-through of the most important concepts and define the notation and terminology used in the lecture.