Details
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New Feature
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Status: Resolved
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Major
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Resolution: Duplicate
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None
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None
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).
Attachments
Issue Links
- duplicates
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SPARK-10408 Autoencoder
- Resolved
- is part of
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SPARK-10408 Autoencoder
- Resolved
- relates to
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SPARK-5575 Artificial neural networks for MLlib deep learning
- Resolved
- links to