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Posted to issues@spark.apache.org by "Sean Owen (JIRA)" <ji...@apache.org> on 2016/09/13 08:30:20 UTC
[jira] [Resolved] (SPARK-2623) Stacked Auto Encoder (Deep Learning
)
[ https://issues.apache.org/jira/browse/SPARK-2623?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Sean Owen resolved SPARK-2623.
------------------------------
Resolution: Duplicate
> 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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