9.641J / 8.594J Introduction to Neural Networks, Fall 2002
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 n...
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| פורמט: | Learning Object |
| שפה: | en-US |
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2002
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| גישה מקוונת: | http://hdl.handle.net/1721.1/36327 |