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https://issues.apache.org/jira/browse/HAMA-675?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Thomas Jungblut updated HAMA-675:
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Component/s: machine learning
> Deep Learning Computation Model
> -------------------------------
>
> Key: HAMA-675
> URL: https://issues.apache.org/jira/browse/HAMA-675
> Project: Hama
> Issue Type: New Feature
> Components: machine learning
> Reporter: Thomas Jungblut
>
> Jeff Dean mentioned a computational model in this video:
> http://techtalks.tv/talks/57639/
> There they are using the same idea of the Pregel system, they are defining a
> upstream and a downstream computation function for a neuron (for cost and its
> gradient). Then you can roughly tell about how the framework should partition
> the neurons.
> All the messaging will be handled by the underlying messaging framework.
> Can we implement something equally?
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