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From "Thomas Jungblut (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (HAMA-675) Deep Learning Computation Model
Date Mon, 12 Nov 2012 18:09:12 GMT

     [ https://issues.apache.org/jira/browse/HAMA-675?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Thomas Jungblut updated HAMA-675:
---------------------------------

    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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