[jira] [Commented] (SINGA-91) Add SoftmaxLayer and ArgSortLayer

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    [ https://issues.apache.org/jira/browse/SINGA-91?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14962418#comment-14962418 ] 

ASF subversion and git services commented on SINGA-91:
------------------------------------------------------

Commit 0a228c8ccd44a95c58ae0a661966f7acbed2c11d in incubator-singa's branch refs/heads/master from wang sheng
[ https://git-wip-us.apache.org/repos/asf?p=incubator-singa.git;h=0a228c8 ]

SINGA-91 - Add SoftmaxLayer and ArgSortLayer

cpplint checked
make documentation in job.conf more clear


> Add SoftmaxLayer and ArgSortLayer
> ---------------------------------
>
>                 Key: SINGA-91
>                 URL: https://issues.apache.org/jira/browse/SINGA-91
>             Project: Singa
>          Issue Type: New Feature
>            Reporter: wangwei
>
> These two layers are added to get prediction results (e.g., predicted labels), which can be output by CSVOutputLayer.
> SoftmaxLayer applies the Softmax function against its source layer to compute its probability distribution over all labels.
> ArgSortLayer sorts labels based on their scores (e.g., probability) in descending order. It has a configuration field *argsort_conf*,
> {code}
> message ArgSortProto {
> optional int32 topk = 1 [default = 1];
> }
> {code}
> Topk labels will be kept.
> ArgSortLayer cannot be used in the training phase, because it does not implement the ComputeGradient function. It is used merely for extracting prediction results. If it connects to a CSVOutputLayer, then topk labels will be dumped into a csv file, topk labels per line.



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