9.641J / 8.594J Introduction to Neural Networks, Fall 2002
Author(s)Seung, H. Sebastian
Introduction to Neural Networks
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Organization of synaptic connectivity as the basis of neural computation and learning. Single and multilayer perceptrons. Dynamical theories of recurrent networks: amplifiers, attractors, and hybrid computation. Backpropagation and Hebbian learning. Models of perception, motor control, memory, and neural development. Alternate years.
synaptic connectivity, computation, learning, multilayer perceptrons, recurrent networks, amplifiers, attractors, hybrid computation, Backpropagation, Hebbian learning, perception, motor control, memory, neural development, 9.641J, 8.594J, 9.641, 8.594, Neural networks (Computer science)