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https://issues.apache.org/jira/browse/SINGA-120?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15083499#comment-15083499
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ASF subversion and git services commented on SINGA-120:
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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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