Alexander Ulanov created SPARK-10408:
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Summary: Autoencoder
Key: SPARK-10408
URL: https://issues.apache.org/jira/browse/SPARK-10408
Project: Spark
Issue Type: Improvement
Components: ML
Affects Versions: 1.5.0
Reporter: Alexander Ulanov
Priority: Minor
Goal: Implement various types of autoencoders
Requirements:
1)Basic (deep) autoencoder that supports different types of inputs: binary,
real in [0..1]. real in [-inf, +inf]
2)Sparse autoencoder i.e. L1 regularization. It should be added as a feature to
the MLP and then used here
3)Denoising autoencoder
4)Stacked autoencoder for pre-training of deep networks. It should support
arbitrary network layers
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