CMU Artificial Intelligence Repository
15-882A: CMU's Introduction to Artificial Neural Networks
This directory contains some of the materials for CMU's graduate
course 15-882A, "Introduction to Artificial Neural Networks". Some
materials have been excluded due to copyright restrictions (e.g.,
the PDP simulator).
There is some software included with the handouts and syllabus:
backprop.lisp A direct implementation of the backpropagation
learning algorithm of Rumelhart, Hinton, and
Williams, for networks with a single hidden
layer. Written by David Touretzky, July 1991.
backprop.c Backpropagation algorithm for training a
fully-connected MLP neural network with 1 layer
of hidden units. Ported to C from backprop.lisp by
Justin Boyan, 5-OCT-93.
perceptron.lisp A simple-minded simulator for two-input perceptrons.
Written by David Touretzky, January 1990.
perceptron.c A simple-minded simulator for 2 bool input to
1 bool output perceptrons. Ported to C from
perceptron.lisp by Justin Boyan, September 1993.
qpole.c Q-learning to solve the cart-pole problem.
Written by Rich Sutton, Chuck Anderson, and
Version: Fall 1993
CD-ROM: Prime Time Freeware for AI, Issue 1-1
Author(s): Dave Touretzky, Alex Waibel, and Scott Fahlman (Instructors)
Authors!Anderson, Authors!Boyan, Authors!Sammut,
Authors!Sutton, Authors!Touretzky, Backpropagation,
Cart-Pole Problem, Connectionist Systems,
Lecture Notes!Neural Networks,
Machine Learning!Neural Networks, Neural Networks!Simulators,
Neural Networks!Teaching Materials, Perceptrons,
Problem Sets!Neural Networks, Q-Learning,
Teaching Materials!Neural Networks
Last Web update on Mon Feb 13 10:24:53 1995