Neural Networks As Computation Models. The Perception. Separability of Data Points. Realization of Boolean Functions By Multi-layer Networks. Classification. The Generalization Problem. Approximating Continuous Functions By Neural Networks. Learning and Data Storage Methods.density Function Estimation. Bayesian Methods. Regularization. Associative Memories# Storage Capacity and Dynamics of Fully and Partially Connected Networks.

Faculty: Computer Science
|Undergraduate Studies |Graduate Studies
Pre-required courses

94412 - Probability (advanced) or 104034 - Introduction to Probability H