STAT 256 - Neural Computation

Institution:

University of Vermont

Subject:

Description:

Introduction to artificial neural networks, their computational capabilities and limitations, and the algorithms used to train them. Statistical capacity, convergence theorems, backpropagation, reinforcement learning, generalization. Prerequisites: Math 124 (or 271), Stat 153 or equivalent, computer programming. Cross-listing: CS 256/CSYS 256. Credits: 3

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.uvm.edu

Phone Number:

(802) 656-3131

Regional Accreditation:

New England Association of Schools and Colleges

Calendar System:

Semester

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