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From Apache Wiki <wikidi...@apache.org>
Subject [Hama Wiki] Trivial Update of "MultiLayerPerceptron" by YexiJiang
Date Thu, 27 Jun 2013 02:19:35 GMT
Dear Wiki user,

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The "MultiLayerPerceptron" page has been changed by YexiJiang:
https://wiki.apache.org/hama/MultiLayerPerceptron?action=diff&rev1=23&rev2=24

  
  For each layer except the input layer, the value of the current neuron is calculated by
taking the linear combination of the values output by the neurons of the previous layer, where
the weight determines the contribution of a neuron in the previous layer to current neuron
(as equation (1) shown). Obtaining the linear combination result z, a non-linear squashing
function is used to constrain the output into a restricted range (as equation (2) shown).
Typically, sigmoid function or tanh function are used. 
  
- {{https://docs.google.com/file/d/0B7jrHSGlHowOVkM5Z3dtZ0ZSQ1U/edit?usp=sharing}}
+ {{http://people.apache.org/~yxjiang/downloads/equ1.png}}
  
- {{https://docs.google.com/file/d/0B7jrHSGlHowOM1UzeGdjRnMyMjg/edit?usp=sharing}}
+ {{http://people.apache.org/~yxjiang/downloads/equ2.png}}
  
  For each step of feed-forward, the calculated results are propagated one layer close to
the output layer.
  

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