2024 Spring > GRAD > cs > cs 672
Neural Networks
Course #: cs 672
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.
Pre Requisites:
Pre-req = Permission of instructor
| Section | Class Number | Schedule/Time | Instructor | Location | |
|---|---|---|---|---|---|
| 01 | 10072 | TuTh 4:00 - 5:15 pm |
Pomplun,Marc | McCormack M01-0420 | |
|
Session:
Regular
Class Dates:
01/22/2024 - 05/08/2024
Capacity:
30
Enrolled:
14
Status:
Open
Credits:
3/3
Class Notes:
Pre Requisites:
Pre-req = Permission of instructor
Course Attributes:
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