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

["Victor Fang (JIRA)" <ji...@apache.org>]

Victor Fang created SPARK-2623:
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             Summary: 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


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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