Next:
Introduction to Neural Networks
Introduction to Neural Networks
Biological and artificial networks
Paradigms of Learning
Hebb's Learning
Hopfield Network
Perceptron Learning
Constraint of linear classifier
Back Propagation Network (BPN)
The basic idea
Error back propagation
Summary of BP training
Competitive Learning Network
Vector Support Machines (SVM)
Linear separation of a feature space
The learning problem:
Support Vector Machine
Kernel Mapping
About this document ...
Ruye Wang 2007-12-09
