[jira] [Commented] (SPARK-2623) Stacked Auto Encoder (Deep Learning )

["Alexander Ulanov (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-2623?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14244651#comment-14244651 ] 

Alexander Ulanov commented on SPARK-2623:
-----------------------------------------

Relevant PR: artificial neural networks https://github.com/apache/spark/pull/1290. Also, I've implemented alphas version of stacked autoencoder here https://github.com/avulanov/spark/tree/autoencoder

> Stacked Auto Encoder (Deep Learning )
> -------------------------------------
>
>                 Key: SPARK-2623
>                 URL: https://issues.apache.org/jira/browse/SPARK-2623
>             Project: Spark
>          Issue Type: New Feature
>            Reporter: Victor Fang
>            Assignee: Victor Fang
>              Labels: deeplearning, machine_learning
>
> We would like to add parallel implementation of  Stacked Auto Encoder (Deep Learning ) algorithm to Spark MLLib.
> SAE is one of the most popular Deep Learning algorithms. It has achieved successful benchmarks in MNIST hand written classifications, Google's ICML2012 "cat face" paper (http://icml.cc/2012/papers/73.pdf), etc.
> Our focus is to leverage the RDD and get the SAE with the following capability with ease of use for both beginners and advanced researchers:
> 1, multi layer SAE deep network training and scoring.
> 2, unsupervised feature learning.
> 3, supervised learning with multinomial logistic regression (softmax). 



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