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https://issues.apache.org/jira/browse/MAHOUT-1426?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13911680#comment-13911680
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Suneel Marthi commented on MAHOUT-1426:
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The classifier.mlp is a supercised classifier based on Online learning training
using SGD. There are old JIRAs that had RBM implementation (not MapReduce) -
Mahout-968 and one for Autoencoders (MAhout-732). Both of which never made it
to the codebase.
> GSOC 2013 Neural network algorithms
> -----------------------------------
>
> Key: MAHOUT-1426
> URL: https://issues.apache.org/jira/browse/MAHOUT-1426
> Project: Mahout
> Issue Type: Improvement
> Components: Classification
> Reporter: Maciej Mazur
>
> I would like to ask about possibilites of implementing neural network
> algorithms in mahout during GSOC.
> There is a classifier.mlp package with neural network.
> I can't see neighter RBM nor Autoencoder in these classes.
> There is only one word about Autoencoders in NeuralNetwork class.
> As far as I know Mahout doesn't support convolutional networks.
> Is it a good idea to implement one of these algorithms?
> Is it a reasonable amount of work?
> How hard is it to get GSOC in Mahout?
> Did anyone succeed last year?
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