Introduction. Course Objectives. This course gives an introduction to basic neural network architectures and learning rules.
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This course gives an introduction to basic neural network architectures and learning rules.
Emphasis is placed on the mathematical analysis of these networks, on methods of training them and on their application to practical engineering problems in such areas as pattern recognition, signal processing and control systems.
• Neurons respond slowly
– 10-3 s compared to 10-9 s for electrical circuits
• The brain uses massively parallel computation
– »1011 neurons in the brain
– »104 connections per neuron