Alexander Ulanov created SPARK-5575:
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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.
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