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