This course covers Hopfield networks, application to optimization problems layered perceptrons, recurrent networks. and unsupervised learning. Programming exercises explore model behavior, with a final project on a cognitive science. artificial intelligence, or optimization problem of the student's choice.
knowledge of C and consent of instructor. (S/U grades permitted.)