| Call Number | 15508 |
|---|---|
| Day, Time & Location | View Class Schedule & Location in Vergil |
| Points | 3 |
| Grading Mode | Standard |
| Approvals Required | None |
| Type | LECTURE |
| Method of Instruction | In-Person |
| Course Description | Introductory course in deep learning covering core architectures (perceptrons, MLPs, CNNs, U-Nets, RNNs, transformers), training methods (supervised/adversarial loss, autoencoders, diffusion, RL), and key topics (regularization, optimization); includes hands-on implementation in PyTorch with coding, experiments, and paper reviews; students learn to design, build, train, and evaluate deep networks and engage with current research. |
| Web Site | Vergil |
| Department | Computer Science |
| Enrollment | 0 students (80 max) as of 2:05PM Monday, May 18, 2026 |
| Subject | Computer Science |
| Number | W4726 |
| Section | 001 |
| Division | School of Engineering and Applied Science: Graduate |
| Open To | Engineering:Graduate |
| Section key | 20263COMS4726W001 |