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  1. Spark
  2. SPARK-2623

Stacked Auto Encoder (Deep Learning )

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    Details

    • Type: New Feature
    • Status: Resolved
    • Priority: Major
    • Resolution: Duplicate
    • Affects Version/s: None
    • Fix Version/s: None
    • Component/s: MLlib

      Description

      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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              • Assignee:
                apachespark Apache Spark
                Reporter:
                vf Victor Fang
              • Votes:
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                • Created:
                  Updated:
                  Resolved: