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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
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Time/Day: 04:00 pm - 06:30 pm T Prerequisites: : Graduate Standing. Units: 3 Course Component(s): Lecture Introduction Video: Intro |
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Books: Simon O. Haykin, Neural Networks and Learning Machines (3rd Edition), Upper Saddle River, NJ 2009, Prentice Hall, |
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| Campus | Delivery Mode | Class Status | Class Nbr | Section |
| Distance Education | Internet | OPEN | 72234 | 1DIS |
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| Learning Management System | Canvas | |||