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ADVANCED DEEP LEARNING

COMPSCI 762
Course Description

Explore methods and applications of deep learning. Covers cutting-edge topics, including neural architecture design, robustness and reliability of deep learning, learning with less supervision, lifelong machine learning, deep generative modeling, theoretical understanding of deep learning, and interpretable deep learning.

Prerequisites
Satisfies

This course does not satisfy any prerequisites.

Credits

Not Reported

Offered

Not Reported

Grade Point Average
3.9

0.57% from Historical

Completion Rate
100%

No change from Historical

A Rate
82.35%

-1.52% from Historical

Class Size
34

-12.07% from Historical

Cumulative Grade Distribution

Instructors (2026 Summr)

Sorted by ratings from Rate My Professors

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