Neural Networks and Their Implementation

1.5 credits · Graduate

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.