Alexander Ulanov created SPARK-5575: ---------------------------------------
Summary: 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