9 641J - Introduction to Neural Networks

Institution:

Massachusetts Institute of Technology

Subject:

Description:

Organization of synaptic connectivity as the basis of neural computation and learning. Single and multilayer perceptrons. Dynamical theories of recurrent networks: amplifiers, integrators, attractors, and hybrid computation. Backpropagation, Hebbian, and reinforcement learning. Models of perception, motor control, memory, and neural development.

Credits:

3.00

Credit Hours:

Prerequisites:

Prereq: 9.29 or permission of instructor

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

web.mit.edu/student/

Phone Number:

(617) 253-1000

Regional Accreditation:

New England Association of Schools and Colleges

Calendar System:

Four-one-four plan

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