CS 439 : Mathematics for Deep Learning

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CS 439 : Mathematics for Deep Learning

Spring 2020

In this course, our goal is to provide the essential knowledge of mathematics that constitutes deep learning and essentially deep neural networks. This course is not intended to be a comprehensive guide to any particular topic in mathematics, rather, we discuss different topics in Linear Algebra, Multi variable Calculus, and Optimization and present a rational argument of how these ideas are subsumed into the making of deep neural networks – popularly known as Deep Learning.

Spring 2020. The course will be launched for the first time in Spring 2020. The lecture videos and and slides will be publicly available for free.

Course Instructor : Sourajit Saha

Course lectures and topics will be available after January 2020.