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https://issues.apache.org/jira/browse/SPARK-2623?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng updated SPARK-2623:
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Assignee: 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
> 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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