Please note:
To view the current Academic Calendar, go to www.sfu.ca/students/calendar.html.
Deep Learning Systems in Engineering ENSC 413 (4)
Machine learning basics, generalization theory, training, validation, and testing. Introduction to artificial neural networks: feedforward, convolutional, recurrent networks. Types of layers in deep models. Architectural and memory calculations. Regularization and optimization. Hardware architectures for deep learning. The course culminates in a major project focusing on engineering applications of deep learning. Prerequisite: MATH 251, ENSC 280, ENSC 351, ENSC 380, all with a minimum grade of C-. Students with credit for ENSC 813 may not take this course for further credit.
| Section | Instructor | Day/Time | Location |
|---|---|---|---|
|
May 12 – Aug 9, 2021: Tue, Thu, 2:30–4:20 p.m.
|
Burnaby |
||
| D101 | TBD |