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
Current Offerings
Spring 2025
- 001 - Lecture (In Person): M W F 1:00 PM - 2:10 PM , Mehdi Karimi 4.00 hour(s)
Dates: 01/13/2025 - 05/03/2025
Location: Adlai E. Stevenson Hall 216 (STV 216)
Instructor: Mehdi Karimi