ECE 559 - Neural Networks

Description: Credit 4. Artificial neural networks, perceptron, backpropagation, Kohonen nets, statistical methods, Hopfield nets, associative memories, large memory networks, cognition.

Prerequisite: Consent of the instructor

Topics:

  • Fundamentals of Artificial Neural Networks for Parallel Computing
  • Perceptrons
  • Backpropagation
  • Kohonen Nets and Counterpropagation
  • Midterm #1
  • Statistical Methods
  • Hopfield Networks
  • Associative Memories
  • Midterm #2
  • Adaptive Resonance Theory
  • Optical Neural Nets
  • Cognition
  • Neocognition
 
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