[
https://issues.apache.org/jira/browse/SINGA-316?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16022789#comment-16022789
]
ASF subversion and git services commented on SINGA-316:
-------------------------------------------------------
Commit be093f1916da3e0f7bf55f0780b5616565d22f53 in incubator-singa's branch
refs/heads/master from wangwei
[ https://git-wip-us.apache.org/repos/asf?p=incubator-singa.git;h=be093f1 ]
SINGA-316 Add SigmoidCrossEntropy
Apply CrossEntropy loss for prediction (probability) generated from Sigmoid
> Add SigmoidCrossEntropy
> -----------------------
>
> Key: SINGA-316
> URL: https://issues.apache.org/jira/browse/SINGA-316
> Project: Singa
> Issue Type: New Feature
> Reporter: wangwei
> Assignee: wangwei
>
> SigmoidCrossEntropy is a loss function for samples with multiple labels.
> For each sample, denote the final layer's output as x (a vector of length L),
> and y as the ground truth label vector (a binary vector of length L)
> where L is the label set size.
> SigmoidCrossEntropy computes
> p_i = sigmoid(x_i)
> loss_i = -y_i log p_i -(1-y_i)log (1-p_i)
> A threshold t_i can be tuned to decide the label assignment, e.g. y_i = 1 if
> p_i > t_i.
--
This message was sent by Atlassian JIRA
(v6.3.15#6346)
