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 2018/07/19 20:05:00 UTC
[jira] [Assigned] (MXNET-560) Adding a temperature parameter in
Softmax and SoftmaxOutput operator
[ https://issues.apache.org/jira/browse/MXNET-560?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Lin Yuan reassigned MXNET-560:
------------------------------
Assignee: Lin Yuan
> 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
> Assignee: Lin Yuan
> Priority: Major
> Time Spent: 12h 40m
> Remaining Estimate: 0h
>
> 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