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From "Yexi Jiang (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (HAMA-795) Implement Autoencoder based on NeuralNetwork
Date Sun, 25 Aug 2013 21:51:51 GMT

     [ https://issues.apache.org/jira/browse/HAMA-795?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Yexi Jiang updated HAMA-795:
----------------------------

    Attachment: HAMA-795.patch

With the tiny testing data.
                
> Implement Autoencoder based on NeuralNetwork
> --------------------------------------------
>
>                 Key: HAMA-795
>                 URL: https://issues.apache.org/jira/browse/HAMA-795
>             Project: Hama
>          Issue Type: New Feature
>          Components: machine learning
>    Affects Versions: 0.6.3
>            Reporter: Yexi Jiang
>            Assignee: Yexi Jiang
>         Attachments: HAMA-795.patch, HAMA-795.patch
>
>
> Implement the autoencoder based on the NeuralNetwork (Implemented in Hama-770).
> The autoencoder can be used for dimensional reduction (non-linear) and the building block
of deep learning network.

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