Computer Science · Fall 2026, Winter 2027, Spring 2027, & Summer 2027

SDSU CS 652 — Foundations of Deep Learning

3.00 units 2 enrollment options

Foundations of deep learning systems and how they adapt to real-world applications. DL Optimization, DL Generalization, Neural Tangent Kernels, Robustness for DL, Deep Generative Models, Self-supervised DL, Transformers, Domain adaptation and generalization, Explainable DL, and Meta-Learning. Project-oriented implementing advanced algorithms.

Course requirements

Prerequisites: CS 553 or CS 549 or CS 559 or CS 561 or consent of instructor.

  • CS 553 or CS 549 or CS 559 or CS 561 or consent of instructor.

Fall 2026 enrollment options

Seat status can change
Class # Format Status Seats Time Location Professor RateMyProfessors
11713 Lrg Lect In person Open 20 / 70 Tue/Thu 2:00 PM–3:15 PM SH 101 Salimeh Sekeh 3.7/5 · 3 reviews Difficulty 4.7 · 75% take again

Spring 2027 enrollment options

Seat status can change
Class # Format Status Seats Time Location Professor RateMyProfessors
9738 Lrg Lect In person Open 0 / 60 Tue/Thu 4:00 PM–5:15 PM OP 201 Salimeh Sekeh 3.7/5 · 3 reviews Difficulty 4.7 · 75% take again