Introduction to Neural Networks, Fall 2002
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| Type: | Course Related Materials |
| Grade Level: | Post-secondary |
Author: Seung, Sebastian
Subject: Science and Technology
Institution Name:
M.I.T.
Collection Name: MIT OpenCourseWare
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.
Details
Course Type: Full Course
Material Types: Syllabi, Homework and Assignments
Media Formats: Text/HTML, Downloadable docs
Language: English
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