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From Apache Wiki <wikidi...@apache.org>
Subject [Hama Wiki] Update of "MultiLayerPerceptron" by YexiJiang
Date Fri, 14 Jun 2013 02:51:06 GMT
Dear Wiki user,

You have subscribed to a wiki page or wiki category on "Hama Wiki" for change notification.

The "MultiLayerPerceptron" page has been changed by YexiJiang:
http://wiki.apache.org/hama/MultiLayerPerceptron?action=diff&rev1=12&rev2=13

  A [[http://en.wikipedia.org/wiki/Multilayer_perceptron|multilayer perceptron]] is a kind
of feed forward [[http://en.wikipedia.org/wiki/Artificial_neural_network|artificial neural
network]], which is a mathematic model inspired by the biological neural network.
  The multilayer perceptron can be used for various machine learning tasks such as classification
and regression.
  
- Here is an example multilayer perceptron:
+ The basic component of a multilayer perceptron is the neuron. 
+ In a multilayer perceptron, the neurons are aligned in layers and in any two adjacent layers
the neurons are connected in pairs with weighted edges.
+ A practical multilayer perceptron consists of at least three layers of neurons, including
one input layer, one or more hidden layers, and one output layers.
+ 
+ Here is an example multilayer perceptron with 1 input layer, 1 hidden layer and 1 output
layer:
  
  {{https://docs.google.com/drawings/d/1DCsL5UiT6eqglZDaVS1Ur0uqQyNiXbZDAbDWtiSPWX8/pub?w=813&h=368}}
  
+ 
- The basic component of a multilayer perceptron is the neuron. 
- A typical multilayer perceptron consists of at least two layers of neurons, including one
input layer, zero or more hidden layers, and one output layers.
  
  == How Multilayer Perceptron works? ==
  To be added...

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