–the perceptron, the basic unit of ANN computation (like transistor is to circuits),
–the perceptron learning rule,
–the class of functions a perceptron can represent,
–multilayer feed-forward networks,
–the back-propogation learning algorithm, and
–the momentum variant of back-propogation.
•Experience the strengths/weaknesses of multilayer feed-forward methods through experimentation.
