Elec Eng 5370: Introduction to Neural Networks and Applications
The course provides an introduction to basic neural network architectures and their applications. Students learn to construct neural networks and train them to solve engineering problems, specifically pattern recognition and function approximation. Mathematical analysis of network architectures, training algorithms and practical applications of neural nets.(Co-listed with Sys Eng 5212)
Additional Info:
SysEng5212/ElecEng5370-Course Outline
Time/Day: 07:00 PM - 09:30 PM T Prerequisites: : Graduate Standing. Units: 3 Course Component(s): Lecture |
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Attention Distance Students
For classes produced by I.T. MediaServices: Access to live and archived media will be available in MediaSpace at mst.mediaspace.kaltura.com or in Panopto at mst.hosted.panopto.com. For more information email itms@mst.edu.
For other course content: please contact your instructor.
Enrollment Information | ||||
Campus | Delivery Mode | Class Status | Class Nbr | Section |
Distance Education | Internet | OPEN | 71972 | 1DIS |
Course Access Information | ||||
Learning Management System | Canvas |