Computer Science 173 - Neural Networks

Institution:

University of California-Irvine

Subject:

Description:

An introduction to the rapidly growing field of neural networks, i.e., algorithms derived from brain circuitry. Models covered include the Hopfield model, delta rule, perceptrons, backpropagation, competitive learning. Mathematical analysis, applications, and biological bases of neural network algorithms. Prerequisites: ICS 52 with a grade of C or better; Mathematics 2A-B and Statistics 67/Mathematics 67; Mathematics 6G or 3A. Formerly ICS 173.

Credits:

4.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.uci.edu/

Phone Number:

(949) 824-5011

Regional Accreditation:

Western Association of Schools and Colleges

Calendar System:

Quarter

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