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MAT 205 - Introduction to Deep Learning

Department: Mathematics

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.

Credit Hours: 4

Prerequisites: Grade of C or better in MAT 175

This course has no upcoming offerings. Please contact the department if you have questions about when this will be offered.