Neural Networks
Course #: CS 672, Class #: 4037, Section #: 01
Description
An introduction to artificial neural networks. Topics include a survey of natural neural network models, perceptrons and their limitations, multi-layer networks and back propagation, Hebbian learning, unsupervised competitive learning, relations to automata and computability theory, adaptive resonance theory, applications of connectionist models of computing to various domains, including pattern recognition and databases.
Prerequisites
Permission of instructor
Course Details
Date / Time
1/25/27 - 5/12/27
TuTh 11a.m. – 12:15p.m.
Location
University Hall Y04-4120
Credits
3
Session
Regular Academic Session
Class Dates
1/25/2027 - 5/12/2027
Location
University Hall Y04-4120
Enrolled / Capacity
0 / 30
Status
Open