You are viewing a plain text version of this content. The canonical link for it is here.

Posted to issues@mxnet.apache.org by "Lin Yuan (JIRA)" <ji...@apache.org> on 2018/06/20 16:30:00 UTC

[jira] [Created] (MXNET-560) Adding a temperature parameter in Softmax and SoftmaxOutput operator

Lin Yuan created MXNET-560:
------------------------------

             Summary: Adding a temperature parameter in Softmax and SoftmaxOutput operator
                 Key: MXNET-560
                 URL: https://issues.apache.org/jira/browse/MXNET-560
             Project: Apache MXNet
          Issue Type: New Feature
            Reporter: Lin Yuan


MXNet does not appear to have a native temperature parameter in its softmax functions. I would like this to be added, as it has many useful applications when learning a categorical probability distribution, especially in a reinforcement learning setting. Should default to 1 to reproduce current behavior.

[https://en.wikipedia.org/wiki/Softmax_function#Reinforcement_learning]



--
This message was sent by Atlassian JIRA
(v7.6.3#76005)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@mxnet.apache.org
For additional commands, e-mail: issues-help@mxnet.apache.org