Class Number: 2292
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.
Days | Time | Date Range | Location | Instructor |
---|---|---|---|---|
TH | 06:00 PM - 09:00 PM | 08/23/2025 - 12/13/2025 | Sierra Hall 1242 | Vedang Chauhan |
Status: Open
Session: Extended Session 1
Units: 3.00
Class Components: Lecture
Career: Postbaccalaureate
Start Date: 08/23/2025
End Date: 12/13/2025
Grading: Letter Grade
Class Availability
Information below is 24 hours old.Enrollment Total: 17
Available Seats: 7
Wait List Capacity: 10
Wait List Total: 0
Enrollment Information
- Graduate Division
- In-Person