[jira] [Commented] (SINGA-184) Add Cross Entropy loss computation

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    [ https://issues.apache.org/jira/browse/SINGA-184?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15327042#comment-15327042 ] 

ASF subversion and git services commented on SINGA-184:
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Commit efd7b627bacb4acd6a3322468350f2b5399f725b in incubator-singa's branch refs/heads/dev from [~kaiping]
[ https://git-wip-us.apache.org/repos/asf?p=incubator-singa.git;h=efd7b62 ]

SINGA-184 Add Cross Entropy loss computation

Implement Cross Entropy loss
Pass cpplint.py, test pass compilation
Todo: check test


> Add Cross Entropy loss computation
> ----------------------------------
>
>                 Key: SINGA-184
>                 URL: https://issues.apache.org/jira/browse/SINGA-184
>             Project: Singa
>          Issue Type: New Feature
>            Reporter: Zheng Kaiping
>
> Implement Cross Entropy loss.
> Cross Entropy loss accepts the prediction from the neural net and the ground truth from the training data. It outputs a scalar loss value for each data sample and computes the gradient of the loss value w.r.t the prediction value through back propagation.



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