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issue in the default output activation function of BaseMultiLayerNetwork #49

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alley003 opened this issue Aug 11, 2014 · 2 comments
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issue in the default output activation function of BaseMultiLayerNetwork #49

alley003 opened this issue Aug 11, 2014 · 2 comments

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@alley003
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private ActivationFunction outputActivationFunction = Activations.softmax(); should be private ActivationFunction outputActivationFunction = Activations.softmax(true);

otherwise, a column wise softmax function will be applied to the output matrix. i.e. the sum of each column is 1. The correct output should have a row summation which is one.
@agibsonccc
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Fixed. Thanks!

AlexDBlack pushed a commit that referenced this issue May 21, 2018
@maxpumperla
Merge pull request #49 from deeplearning4j/mp_workspaces
61fc975 
Mp workspaces
nightscape pushed a commit to nightscape/deeplearning4j that referenced this issue Jul 4, 2018
@Atry
Upgrade RAII.scala for Scaladoc (fix deeplearning4j#49)
7239171
nightscape pushed a commit to nightscape/deeplearning4j that referenced this issue Jul 4, 2018
@izhangzhihao
Merge pull request deeplearning4j#58 from Atry/ownership-scaladoc
28aacdc 
Upgrade RAII.scala for Scaladoc (fix deeplearning4j#49)
@lock
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lock bot commented Jan 22, 2019

This thread has been automatically locked since there has not been any recent activity after it was closed. Please open a new issue for related bugs.

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@agibsonccc @alley003