hama-dev mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From "Yexi Jiang (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (HAMA-795) Implement Autoencoder based on NeuralNetwork
Date Fri, 30 Aug 2013 13:32:51 GMT

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

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

    Resolution: Fixed
        Status: Resolved  (was: Patch Available)
    
> 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.

--
This message is automatically generated by JIRA.
If you think it was sent incorrectly, please contact your JIRA administrators
For more information on JIRA, see: http://www.atlassian.com/software/jira

Mime
View raw message