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To view the Fall 2024 Academic Calendar, go to www.sfu.ca/students/calendar/2024/fall.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 B. Students with credit for ENSC 813 may not take this course for further credit.

Section Instructor Day/Time Location
D100 Faisal Beg
Jan 6 – Apr 9, 2025: Wed, Fri, 2:30–4:20 p.m.
Burnaby