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https://issues.apache.org/jira/browse/SINGA-9?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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wangwei resolved SINGA-9.
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Resolution: Fixed
The next release should consider the PCD algorithm and the training for DBM.
> Add Support for Restricted Boltzman Machine (RBM) model
> -------------------------------------------------------
>
> Key: SINGA-9
> URL: https://issues.apache.org/jira/browse/SINGA-9
> Project: Singa
> Issue Type: New Feature
> Reporter: wangwei
> Assignee: ZHAOJING
>
> This ticket is to implement RBM in SINGA.
> To training RBM models, the Contrastive Divergence (CD) algorithm should be
> implemented.
> We have implemented a BPWorker to run the Back-Propagation algorithm. To
> implement the CD algorithm, we follow the same way to create a CDWorker whose
> RunOneBatch function controls the logic of the CD algorithm, including
> positive phase, negative phase and computing gradient phase.
> RBM's layers are different to the layers for feed-forward neural networks,
> hence new layers for RBM models should be added.
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