9.641J / 8.594J Introduction to Neural Networks, Fall 2002
Author(s)
Seung, H. Sebastian
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Alternative title
Introduction to Neural Networks
Metadata
Show full item recordAbstract
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.
Date issued
2002-12Other identifiers
9.641J-Fall2002
local: 9.641J
local: 8.594J
local: 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)