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Date: Mon, 12 Nov 2012 18:09:12 +0000 (UTC)
From: "Thomas Jungblut (JIRA)" <jira@apache.org>
To: dev@hama.apache.org
Message-ID: <1981887279.101606.1352743752073.JavaMail.jiratomcat@arcas>
Subject: [jira] [Created] (HAMA-675) Deep Learning Computation Model
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Thomas Jungblut created HAMA-675:
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             Summary: Deep Learning Computation Model
                 Key: HAMA-675
                 URL: https://issues.apache.org/jira/browse/HAMA-675
             Project: Hama
          Issue Type: New Feature
            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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