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Material Detail

9.641J / 8.594J Introduction to Neural Networks

9.641J / 8.594J Introduction to Neural Networks

This course explores the organization of synaptic connectivity as the basis of neural computation and learning. Perceptrons and dynamical theories of recurrent networks including amplifiers, attractors, and hybrid computation are covered. Additional topics include backpropagation and Hebbian learning, as well as models of perception, motor control, memory, and neural development.... Show More
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More about this material

Material Type:
Online Course
Date Added to MERLOT:
June 9, 2011
Date Modified in MERLOT:
April 19, 2020
Author:
Submitter:
Barbra Bied Sperling
Hispanic Serving Institution
Primary Audience:
College General Ed, College Lower Division
Mobile Compatibility:
Not specified at this time
Language:
English
Cost Involved:
No
Source Code Available:
Unknown
Accessibility Information Available:
Unknown
Creative Commons:
Creative Commons License
This work is licensed under a Attribution-NonCommercial-ShareAlike 3.0 United States

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