AMCS 304 Deep Learning and Analysis

This is a course on the introduction of basic mathematical, numerical and practical aspects of deep learning techniques. It will provide students with mathematical background and also practical tools needed to understand, to analyze and to further develop numerical methods for deep learning and applications. The course is simultaneously geared towards math students who want to learn about the emerging technology of deep learning and also towards students from other fields who are interested in deep learning application but would like to strengthen their theoretical foundation and mathematical understanding.

Credits

3