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From "Apache Spark (JIRA)" <j...@apache.org>
Subject [jira] [Assigned] (SPARK-2623) Stacked Auto Encoder (Deep Learning )
Date Sun, 12 Jun 2016 01:32:21 GMT

     [ https://issues.apache.org/jira/browse/SPARK-2623?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Apache Spark reassigned SPARK-2623:
-----------------------------------

    Assignee: Apache Spark  (was: Victor Fang)

> Stacked Auto Encoder (Deep Learning )
> -------------------------------------
>
>                 Key: SPARK-2623
>                 URL: https://issues.apache.org/jira/browse/SPARK-2623
>             Project: Spark
>          Issue Type: New Feature
>          Components: MLlib
>            Reporter: Victor Fang
>            Assignee: Apache Spark
>              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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