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From "ASF subversion and git services (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SINGA-184) Add Cross Entropy loss computation
Date Mon, 13 Jun 2016 13:20:21 GMT

    [ https://issues.apache.org/jira/browse/SINGA-184?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15327342#comment-15327342
] 

ASF subversion and git services commented on SINGA-184:
-------------------------------------------------------

Commit 21e4b2d79a4bd3acfb8b487cf96c197da464ae70 in incubator-singa's branch refs/heads/master
from [~flytosky]
[ https://git-wip-us.apache.org/repos/asf?p=incubator-singa.git;h=21e4b2d ]

SINGA-184 Add Cross Entropy loss computation

Merge with asf dev.
Fix the bug for cuda crossentropy caused by the target type (should use
int instead of float).


> 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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