CAP 4613
Deep Learning for Computer Graphics
This undergraduate course covers deep learning basics, related math and the fundamental theory and application of AI algorithms most popular in the field of computer graphics. Programming assignments will help students develop GPU programming skills while implementing concepts learned in lectures and readings using deep learning APIs on a GPU cluster. Convolutional neural networks (CNNs) for colorizing black and white movies is an example.
Prerequisites & course information
Grading Scheme: Letter Grade Prerequisite: COP 3530 or MAS 3114 or 4105 . Attributes: Artificial Intelligence
Sources
- Course catalogue ↗2025-2026
- Catalogue entry ↗
Catalogue variants
- Deep Learning for Computer Graphics · 3 Credits