Mathematical neuron models, learning methods, the perceptron, basic nonlinear optimization, backpropagation algorithm, associative memory, hopfield networks, SVM, vector quantization, SOM, PCA, convolutional networks, deep learning. Course Information: Same as CS 559. Prerequisite(s): Consent of the instructor. - Knowledge of calculus, linear algebra, and the ability to write computer programs are assumed.