EECE 4741 - Intro to Neural Networks

Institution:

University of Memphis

Subject:

Electrical Engineering Compter Engenerging

Description:

Topics include machine learning approaches, learning algorithms; least-mean squares and gradient descent; supervised learning(perceptron, deep learning algorithms and its variants); unsupervised methods (Hebbian, self-organizing maps andautoencoders); computing platforms for neural networks; case studies. (Same as COMP 4741)PREREQUISITES: COMP 2150 and MATH 3242, or permission of instructor.

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.memphis.edu

Phone Number:

(901) 678-2000

Regional Accreditation:

Southern Association of Colleges and Schools

Calendar System:

Semester

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