ICS 586: Neural Networks

ICS 586: Neural Networks

 
Course Information
Designation: 
 Elective Course
Course Level: 
 Graduate
Prerequisites
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).​