CS 4333 - THEORY AND APPL OF NEURAL NETS

Institution:

University of Houston-Downtown

Subject:

Computer Science

Description:

Introduction to basic concepts of neural networks used in supervised and unsupervised learning. Several learning rules and algorithms will be presented along with applications. Cross-listed as MATH 4333. Credit may not be earned for both.

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Grade of C or better in MATH 2307, MATH 2403, and CS 2310

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.uhd.edu

Phone Number:

(713) 221-8000

Regional Accreditation:

Southern Association of Colleges and Schools

Calendar System:

Semester

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