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From "ASF subversion and git services (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SINGA-120) Implemented GRU and BPTT
Date Tue, 05 Jan 2016 18:11:39 GMT

    [ https://issues.apache.org/jira/browse/SINGA-120?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15083499#comment-15083499
] 

ASF subversion and git services commented on SINGA-120:
-------------------------------------------------------

Commit 959ef705a66b20b474dfad3e85a9f35635e8690f in incubator-singa's branch refs/heads/master
from [~flytosky]
[ https://git-wip-us.apache.org/repos/asf?p=incubator-singa.git;h=959ef70 ]

SINGA-120 - Implemented GRU and BPTT

Add input layers for char rnn example.

Fix the bug from worker.cc for flag setting in computegradient

Run with GPU; Loss decreases slowly to 3 per unit;
Todo add RNNDummyLayer and train with RMSProp


> Implemented GRU and BPTT
> ------------------------
>
>                 Key: SINGA-120
>                 URL: https://issues.apache.org/jira/browse/SINGA-120
>             Project: Singa
>          Issue Type: New Feature
>            Reporter: Ju Fan
>
> This ticket will implement the GRU model (one of the RNN models) and BPTT algorithm for
training the GRU model. 
> Particularly, it implements the GRU unit and unrolling the user defined model. Truncated
BPTT is implemented as a subclass of Worker for computing the gradients of parameters.



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