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https://issues.apache.org/jira/browse/MADLIB-1206?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Nandish Jayaram updated MADLIB-1206:
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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.
Related JIRA that will pre-process the input data to be consumed by mini-batch
is https://issues.apache.org/jira/browse/MADLIB-1200
was:
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.
> 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.
> Related JIRA that will pre-process the input data to be consumed by
> mini-batch is https://issues.apache.org/jira/browse/MADLIB-1200
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