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Alexander Ulanov commented on SPARK-10408: ------------------------------------------ Added implementation for (1) that is basic deep autoencoder https://github.com/avulanov/spark/tree/autoencoder-mlp > Autoencoder > ----------- > > Key: SPARK-10408 > URL: https://issues.apache.org/jira/browse/SPARK-10408 > Project: Spark > Issue Type: Umbrella > 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 -- 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