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https://issues.apache.org/jira/browse/SINGA-10?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14899905#comment-14899905
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ASF subversion and git services commented on SINGA-10:
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Commit 79a241c8bb6c520979d52c895f4958c2b901cd47 in incubator-singa's branch
refs/heads/master from wang sheng
[ https://git-wip-us.apache.org/repos/asf?p=incubator-singa.git;h=79a241c ]
SINGA-10 Add Support for Recurrent Neural Networks (RNN)
improve extract_cluster function in tool.cc
- we read the last occurrence of "cluster"
- content are the first occurrence of "{" and "}" after "cluster"
format rnnlm.h and common.cc
> Add Support for Recurrent Neural Networks (RNN)
> -----------------------------------------------
>
> Key: SINGA-10
> URL: https://issues.apache.org/jira/browse/SINGA-10
> Project: Singa
> Issue Type: New Feature
> Reporter: wangwei
> Assignee: Zheng Kaiping
>
> The training algorithm for RNNs is Back-Propagation through time (BPTT). It
> is similar to the BP algorithm for feed-forward neural networks.
> The model structures are quite different to feed-forward models. Hence, we
> may need to inherit the base NeuralNet class to create a RNN class. The RNN
> class overrides the SetupNeurlNet function to:
> 1. parse user configuration and create the RNN graph with (circles)
> 2. broke the circles and expand it through time.
> 3. create and setup layers
> Model partitioning id not considered in this ticket.
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