Class Number: 4159
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 |
|---|---|---|---|---|
| M | 06:00 PM - 08:50 PM | 08/25/2014 - 12/20/2014 | Bell Tower 1481 | Andrzej Bieszczad |
Status: Open
Session: Extended Session 1
Units: 3.00
Class Components: Lecture
Career: Postbaccalaureate
Start Date: 08/25/2014
End Date: 12/20/2014
Grading: Letter Grade
Class Availability
Information below is 24 hours old.Enrollment Total: 5
Available Seats: 2
Wait List Capacity: 0
Wait List Total: 0
Enrollment Information
- Graduate Division
Notes
- MSCS