EEL 6814
Neural Networks for Signal Processing
Spring 2016
Instructor: Dr. Jose Principe, principe@cnel.ufl.edu
Dr. Principe's Office Hours: TBD (NEB 451)
Syllabus
Lecture notes
- Search
- Wiener solution
- Performance Surface
- Data Fitting with Linear Models
- Pattern Recognition
- Perceptron
- Multilayer Perceptrons
- Radial basis functions
- Support vector machines
- Ch 4 Designing and Training MLPs
- Ch 5 Function approximation
- Statistical Learning Theory and C-Loss Function (updated 10/15/2010)
- Structural risk minimization (updated 10/19/2010)
- Ch 6 Hebbian learning and PCA
- Information theoretic learning (ppt)
- Introduction to Information Theory and ICA
- Ch 11 Recurrent networks
- Renyi's Entropy
- (paper) Blind source separation using Renyi's mutual information
- The MRMI Algorithm
Homeworks
- Homework 1Due 9/14 (update 9/7/2010)
- Homework 2 pdf Due 9/28 (update 9/21/2010)
- Homework 3 pdf Due 10/05 (update 9/23/2010)
- Homework 4 pdf Due 10/14 (update 10/05/2010)
- Homework 5 pdf Due 11/16/2010 (update 11/06/2010)
- Homework 6 pdf Due 11/30/2010 (update 11/14/2010)