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https://issues.apache.org/jira/browse/SPARK-2623?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14244651#comment-14244651
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Alexander Ulanov edited comment on SPARK-2623 at 12/12/14 7:31 PM:
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Relevant PR https://issues.apache.org/jira/browse/SPARK-2352: artificial neural
networks https://github.com/apache/spark/pull/1290. Also, I've implemented
alphas version of stacked autoencoder here
https://github.com/avulanov/spark/tree/autoencoder
was (Author: avulanov):
Relevant PR: artificial neural networks
https://github.com/apache/spark/pull/1290. Also, I've implemented alphas
version of stacked autoencoder here
https://github.com/avulanov/spark/tree/autoencoder
> 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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