Jan 28, 2025  
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EGEC 529 - Principles of Neural Systems (3)

Principles of neural systems and their hardware implementation. Basic properties, discrete and continuous bidirectional associative memories. Temporal associative memories. Neural nets classifiers, perceptrons, supervised and unsupervised learning. Forward and backward propagation. Electrical models of neural networks using op-amp., analog VLSI.

Prerequisites: EGEC 310 , EGEC 409  or graduate standing.

Graduate-level

Typically Offered: Fall periodically


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