Introduction to Deep Learning

Catalog description

The course introduces Deep Learning (DL) and covers concepts such as the mathematical foundations of DL (optimization, backpropagation, etc. ), building and training of DL models, applications of DL, and using application program interfaces (APIs) to build models for various applications. Students will be exposed to computer algebra systems. Prerequisites: Grade of C or better in MAT 175.