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Posted to issues@madlib.apache.org by "Nandish Jayaram (JIRA)" <ji...@apache.org> on 2018/02/28 18:46:00 UTC

[jira] [Updated] (MADLIB-1206) Add mini batch based gradient descent support to MLP

     [ https://issues.apache.org/jira/browse/MADLIB-1206?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Nandish Jayaram updated MADLIB-1206:
------------------------------------
    Description: 
Mini-batch gradient descent is typically the algorithm of choice when training a neural network.

MADlib currently supports IGD, we may have to add extensions to include mini-batch as a solver for MLP. Other modules will continue to use the existing IGD that does not support mini-batching. Later JIRAs will move other modules over one at a time to use the new mini-batch GD.

  was:Having mini-batch GD in MLP might be more efficient. Can we add that capability?


> Add mini batch based gradient descent support to MLP
> ----------------------------------------------------
>
>                 Key: MADLIB-1206
>                 URL: https://issues.apache.org/jira/browse/MADLIB-1206
>             Project: Apache MADlib
>          Issue Type: New Feature
>          Components: Module: Neural Networks
>            Reporter: Nandish Jayaram
>            Assignee: Nandish Jayaram
>            Priority: Major
>             Fix For: v1.14
>
>
> Mini-batch gradient descent is typically the algorithm of choice when training a neural network.
> MADlib currently supports IGD, we may have to add extensions to include mini-batch as a solver for MLP. Other modules will continue to use the existing IGD that does not support mini-batching. Later JIRAs will move other modules over one at a time to use the new mini-batch GD.



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