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    2 comments  ·  Data Science VM » Tools and applications  ·  Flag idea as inappropriate…  ·  Admin →
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    Anonymous commented  · 

    To be clear, DL4J is the top open-source deep learning framework on the JVM. Weka uses on DL4J for its deep learning functionality.

    https://github.com/Waikato/wekaDeeplearning4j

    Spark MLlib could be much more computationally efficient by relying on a scientific computing library like ND4J to push matrix manipulations down to C++.

    https://github.com/deeplearning4j/nd4j
    https://github.com/deeplearning4j/libnd4j

    H2O's deep learning offering is mostly limited to wrapping TensorFlow. They wrote their own MLPs.

    Deeplearning4j supports almost any neural network, integrates with Spark, Kafka, Hadoop and other tools on the JVM, and most importantly for MSFT, it runs on Windows. How many other DL frameworks do that?

    https://deeplearning4j.org/releasenotes#onezerozeroalpha

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