Instructor: Prof. Jonathan Stein

Office: FM208 (1/2 hour before class or by appointment)
Phone:
email: Jonathan (Y) Stein

Lectures and Assignments (click for outline)

1. The Biological Neuron and Simple Models
2. The Perceptron As a Classifier
3. The Perceptron Learning Algorithm
4. Weight Space and the PLA Criterion
5. Soft Neurons and the LMS Algorithm
6. Capabilities of Multilayer Perceptrons
7. Hopfield Feedback Networks
8. Training Multilayer Perceptrons
9. Beyond Vanilla BP
10. Radial Basis Function (RBF) Networks
11. SOFM, VQ and LVQ
12. Optimization Algorithms

NO LONGER

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