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CS 652 - Foundations of Deep Learning

CS 652: Foundations of Deep Learning (3 units) at San Diego State University. 1 section offered in Spring 2027, with meeting times, instructors, and seat counts. Prerequisites: CS 553 or CS 549 or CS 559 or CS 561 or consent of instructor. Counts toward Artificial Intelligence and Technology, M.S. (2026-27), Computational Science, M.S. (2026-27).

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3 units
  • Elective Courses
  • Core Requirements
  • Areas of Study
Offered: Summer 2027 (not offered), Spring 2027 (offered), Fall 2026 (offered)

Counts toward

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.
Prerequisites
CS 553 or CS 549 or CS 559 or CS 561 or consent of instructor
See the full prerequisite chain

From the catalog

Who can take it
CS 553 or CS 549 or CS 559 or CS 561 or consent of instructor
Grading
LCR: Letter Grade with Cr/NC available. The grading default for the class will be letter grade, but students can opt to take it for Cr/NC
Typically offered
Spring

1 section in Spring 2027

Class #9738· In-person · Open · Letter or CR/NC · Graduate
60 of 60 seats open
Tue, Thu 4:00 PM-5:15 PM · OP 201
Salimeh Sekeh3.7(3)

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