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 ICS 586: Neural Networks

​Course Information

Designation:   Elective Course

Course Level:   Graduate

Prerequisites

Prerequisite Courses: 


Catalog Description: 

Fundamental concept of neural computation. Main neural network models. Perceptions and back-propagation, Hopfield and feedback models. Fault-tolerance in neural
networks. Parallel processing in neural networks. Potential and limitations of neural networks. Applications of neural computing. Project(s).​