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From "Janani Mukundan (JIRA)" <>
Subject [jira] [Commented] (SPARK-5575) Artificial neural networks for MLlib deep learning
Date Wed, 10 Jun 2015 15:39:03 GMT


Janani Mukundan commented on SPARK-5575:

Hi Alexander,
I forked your latest version of
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. 

> Artificial neural networks for MLlib deep learning
> --------------------------------------------------
>                 Key: SPARK-5575
>                 URL:
>             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,

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