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9.641J / 8.594J Introduction to Neural Networks, Fall 2002

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Title: 9.641J / 8.594J Introduction to Neural Networks, Fall 2002
Author: Seung, H. Sebastian
Issue Date: 2002-12
Abstract: 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.
URI: http://hdl.handle.net/1721.1/36327
Other Identifiers: 9.641J-Fall2002
Other Identifiers: 9.641J
8.594J
IMSCP-MD5-bd6878f7d57a228449535604255a526a
Keywords: 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), 302401, Neuroscience

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