COMP 572 - Neural Networks
Description
Hours: Three hours lecture in the lab per week Prerequisites: Admission to the Computer Science or Mathematics Graduate Program Covers the basic ideas of distributed computation with many simple processing units, similar to the neurons of the brain. Topics include: Hopfield style networks applied to optimization problems, and the backpropagation method applied to pattern classification problems. Additional topics include associate memory, binary vs. analog networks, simulated annealing.
Meeting Information
| Days | Times | Room | Meeting Dates | Instructor |
|---|---|---|---|---|
| W | 6:00 PM - 9:00 PM | Sierra Hall 2411 | 1/20/2024 - 5/17/2024 | Bahareh Abbasi |
Status: Closed
Class Number: 2405
Session: Extended Session 1
Units: 3.00
Class Components: Lecture
Career: Postbaccalaureate
Dates: 1/20/2024 - 5/17/2024
Grading: Letter Grade
Class Availability
Information below is 24 hours old.
Enrollment Total: 32
Available Seats: 0
Wait List Capacity: 5
Wait List Total: 0
Enrollment Information
- Graduate Division
- Includes any In Person Meeting