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https://issues.apache.org/jira/browse/SINGA-145?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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wangwei closed SINGA-145.
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Resolution: Fixed
> New SGD based optimization Updaters: AdaDelta, Adam, AdamMax
> ------------------------------------------------------------
>
> Key: SINGA-145
> URL: https://issues.apache.org/jira/browse/SINGA-145
> Project: Singa
> Issue Type: New Feature
> Environment: Universal
> Reporter: Wang Ji
> Priority: Minor
>
> This ticket implements three Stochastic Gradient Descent (SGD) based
> optimization algorithms in Updater.cc, i.e. AdaDelta, Adaptive Moment
> Estimation(Adam) with its variant AdamMax .These algorithms adapt the
> learning rate to the parameters, performing larger updates for infrequent and
> smaller updates for frequent parameters.
> For algorithm details, refer to AdaDelata (http://arxiv.org/abs/1212.5701),
> Adam (http://arxiv.org/pdf/1412.6980.pdf).
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