DEEP LEARNING
DEEP LEARNING
2026 Spring Term
3 Units
Computer Science 768
This course provides a broad introduction to Deep Learning. Topics include but are not limited to Perceptrons, Feed-forward networks, Convolutional Neural networks and transformers. Particular focus will be on the theoretical understanding of these methods, as well as their practical applications.
Other Requirements: PREREQ:ADMISSION TO GRADUATE PROGRAM IN COMPUTER SCIENCE COREQ: PRIOR COMPLETION OR CONCURRENT ENROLLMENT IN (COMPSCI 723 OR COMPSCI 732 OR COMPSCI 761)
Class Schedule
Disclaimer
- This schedule is informational and does not guarantee availability for registration.
- Sections may be full or not open for registration. Please use WINS if you wish to register for a course.
| Section Details | Meeting Details & Topic | Instructor | Syllabus | ||
|---|---|---|---|---|---|
|
30-LEC 3756
3 Units
|
01/26 - 05/09 (1) |
Lopamudra Mukherjee
|
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| ONLINE | |||||
