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From "wangwei (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (SINGA-10) Add Support for Recurrent Neural Networks (RNN)
Date Fri, 19 Jun 2015 14:54:00 GMT

     [ https://issues.apache.org/jira/browse/SINGA-10?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

wangwei updated SINGA-10:
-------------------------
    Assignee: Zheng Kaiping

> 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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