Machine Learning Meetup Notes: 2010-07-14

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Mike went over basic Artificial Neural Networks:

  • Activation Functions
  • NNs for regression
  • NNs for binary classification
  • NNs for multi-class classification
  • Backpropagation

He made an example using encog for 2D regression:

http://code.google.com/p/encog-java/

The code is in the git repository, in an "nn" subdirectory:

git clone git://ml-noisebridge.git.sourceforge.net/gitroot/ml-noisebridge/ml-noisebridge

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