ECE 564

Neural Networks and Their Implementation

Units: 1.5

Formerly: ELEC 564

Biological inspiration, historical background, learning in neural nets (backpropagation, hebian, etc.), single- and multi-layer networks, associative memories, classification and clustering models, recurrent networks. Neural network technology, implementation software and hardware technologies, algorithm definitions, computational requirements, solution methods, parallel processing hardware. VLSI and optical implementations of neural networks.


  • Credit will be granted for only one of ECE 564, ELEC 564.

Graduate course in the Electrical and Computer Engineering program offered by the Faculty of Graduate Studies.

Fall 2019 Spring 2020 Summer 2020

Summer timetable available: February 15. Fall and Spring timetables available: May 15.

Before these dates the class schedule will show "No classes were found that meet your search criteria". If this message is shown after these dates, the course is not scheduled for the selected term.