Introduction to Neural Networks for Java, Session 12

Course NameIntroduction to Neural Networks for Java
Instructorjeffheaton
Session TitleProgramming a Self Organizing Map
Session Number12

Session Material

A self-organizing map (SOM) has a somewhat different structure than the feedforward networks we've examined so far. A typical SOM is shown here.

The SOM has no hidden layers. A normalization of the input data is performed before passing the data on to the input neurons. Some consider this normalization an additional layer. The output is whichever neuron has the highest activation. The SOM uses a winner take all mentality.

Videos for this Session

Videosort iconTitle
Introduction to Neural Networks for Java(Class 12/16, Part 1/5)Introduction to Neural Networks for Java(Class 12/16, Part 1/5)
Introduction to Neural Networks for Java(Class 12/16, Part 2/5)Introduction to Neural Networks for Java(Class 12/16, Part 2/5)
Introduction to Neural Networks for Java(Class 12/16, Part 3/5)Introduction to Neural Networks for Java(Class 12/16, Part 3/5)
Introduction to Neural Networks for Java(Class 12/16, Part 4/5)Introduction to Neural Networks for Java(Class 12/16, Part 4/5)
Introduction to Neural Networks for Java(Class 12/16, Part 5/5)Introduction to Neural Networks for Java(Class 12/16, Part 5/5)

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