Artificial Intelligence
Deep Learning
3 credits
Advanced machine learning focused on deep learning in practice: mathematical foundations, models for unstructured, sequential, spatial, and graph data, methods for prediction, generative modeling, and reinforcement learning, and hands-on experience designing, optimizing, tuning, and applying deep models.
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| Section | Activity | Enrolled | Time | Instructor |
|---|---|---|---|---|
| 101 | Lecture | — | Tue 15:30-17:00, Thu 15:30-17:00 | Evan ShelhamerLeonid Sigal |
| L1A | Laboratory | — | — | — |
| T1A | Discussion | — | Wed 13:00-14:00 | — |
| T1B | Discussion | — | Wed 14:00-15:00 | — |
| T1C | Discussion | — | Wed 16:00-17:00 | — |
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