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

Status: Open
Class Number: 2945
Session: Extended Session 1
Units: 3.00
Class Components: Lecture
Career: Postbaccalaureate
Dates: 8/22/2020 - 12/18/2020
Grading: Letter Grade

Class Availability

Information below is 24 hours old.
Enrollment Total: 28
Available Seats: 2
Wait List Capacity: 10
Wait List Total: 0

Enrollment Information

• Graduate Division