Neural Networks and Their Implementation
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.