[jira] [Commented] (SPARK-5575) Artificial neural networks for MLlib deep learning

["Janani Mukundan (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-5575?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14580661#comment-14580661 ] 

Janani Mukundan commented on SPARK-5575:
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Hi Alexander,
I forked your latest version of https://github.com/avulanov/spark/tree/ann-interface-gemm.
I would like to contribute to the MLlib by adding an implementation of a DBN. 
I have a scala implementation working right now. I am going to try and merge it with your ANN models. 
Thanks
Janani

> 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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