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https://issues.apache.org/jira/browse/SPARK-5575?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14984809#comment-14984809
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Guoqiang Li commented on SPARK-5575:
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Hi All,
There is a MLP implementation with the Parameter Server and Spark.

> Artificial neural networks for MLlib deep learning
> --------------------------------------------------
>
>                 Key: SPARK-5575
>                 URL: https://issues.apache.org/jira/browse/SPARK-5575
>             Project: Spark
>          Issue Type: Umbrella
>          Components: MLlib
>    Affects Versions: 1.2.0
>            Reporter: Alexander Ulanov
>
> Goal: Implement various types of artificial neural networks
> Motivation: deep learning trend
> Requirements: 
> 1) Basic abstractions such as Neuron, Layer, Error, Regularization, Forward 
> and Backpropagation etc. should be implemented as traits or interfaces, so 
> they can be easily extended or reused
> 2) Implement complex abstractions, such as feed forward and recurrent networks
> 3) Implement multilayer perceptron (MLP), convolutional networks (LeNet), 
> autoencoder (sparse and denoising), stacked autoencoder, restricted  
> boltzmann machines (RBM), deep belief networks (DBN) etc.
> 4) Implement or reuse supporting constucts, such as classifiers, normalizers, 
> poolers,  etc.



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