[ https://issues.apache.org/jira/browse/SPARK-5575?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14944173#comment-14944173 ]
Alexander Ulanov commented on SPARK-5575: ----------------------------------------- Weide, These are major features and some of them are under development. You can check their status in the linked issues. Could you work on something smaller as a first step? [~mengxr], do you have any suggestions? > Artificial neural networks for MLlib deep learning > -------------------------------------------------- > > Key: SPARK-5575 > URL: https://issues.apache.org/jira/browse/SPARK-5575 > Project: Spark > Issue Type: Umbrella > Components: MLlib > Affects Versions: 1.2.0 > Reporter: Alexander Ulanov > > Goal: Implement various types of artificial neural networks > Motivation: deep learning trend > Requirements: > 1) Basic abstractions such as Neuron, Layer, Error, Regularization, Forward > and Backpropagation etc. should be implemented as traits or interfaces, so > they can be easily extended or reused > 2) Implement complex abstractions, such as feed forward and recurrent networks > 3) Implement multilayer perceptron (MLP), convolutional networks (LeNet), > autoencoder (sparse and denoising), stacked autoencoder, restricted > boltzmann machines (RBM), deep belief networks (DBN) etc. > 4) Implement or reuse supporting constucts, such as classifiers, normalizers, > poolers, etc. -- 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