Computer Science · Fall 2026

SDSU CS 652 — Foundations of Deep Learning

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.