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Alexander Ulanov edited comment on SPARK-2623 at 12/12/14 7:31 PM: ------------------------------------------------------------------- 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). -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org