Hide Advanced Options
Courses - Fall 2022
Computer Science Department Site
Advanced Topics in Information Processing; Foundations of Deep Learning
Credits: 3
Grad Meth: Reg, Aud
Restricted to Master's/Doctoral students in Computer Science, Electrical and Computer Engineering, Mathematics, or permission of instructor.

In this course, we are going to explore empirically-relevant theoretical foundations of deep learning (DL). We will cover topics including DL optimization, DL generaliation, Neural Tangent Kernels, Deep Generative Models, DL Robustness, DL Interpretability, Domain Adaptation and Generalization, Self-Supervised Learning and Deep Reinforcement Learning.