HMC CS 152 Lecture Slides, Fall 2003

Date	Topic	pdf 1 per page	pdf 2 per page	pdf 6 per page
9/02	Introduction	intro	intro	intro
9/04	Perceptrons	perceptron	perceptron	perceptron
9/09	Adalines	adalines	adalines	adalines
9/11	Multi-layer Perceptrons	mlp	mlp	mlp
9/18	Backpropagation Tips	bptricks	bptricks	bptricks
9/18	Backpropagation Variations	bpvars	bpvars	bpvars
9/23	Time and Neural Nets	time	time	time
9/25	Recurrent Nets	recurrent	recurrent	recurrent
9/30	Game Playing and Temporal Differences	td	td	td
10/2	Control Applications	control	control	control
10/7	Backpropagation Applications	bpapps	bpapps	bpapps
10/7	Radial Basis Function Nets	rbf	rbf	rbf
10/9	Associative Learning: Supervised Hebbian Learning	hebb	hebb	hebb
10/9	Associative Learning: Unsupervised Hebbian Learning	assoc	assoc	assoc
10/14	Competitive Learning	compet	compet	compet
10/14	Learning Vector Quantization	lvq	lvq	lvq
10/16	Self-Organizing Maps	som	som	som
10/16	Adaptive Resonance Theory	art	art	art
10/23	Hopfield Nets	hopfield	hopfield	hopfield
10/28	Boltzmann Machines	boltzmann	boltzmann	boltzmann
10/30	Constraint Satisfaction	constraint	constraint	constraint
10/30	Support Vector Machines	svm	svm	svm
11/04	Evolutionary Programming	evol	evol	evol
11/06	Parallel Evolution of Decision Trees	pagentree	pagentree	pagentree
12/4	Fuzzy Logic	fuzzy	fuzzy	fuzzy