Deep Learning on the JVM
Deep Learning on the JVM
How to use the DL4J open source project for Spark and Hadoop deep learning on the JVM.
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Join For FreeHortonworks Sandbox for HDP and HDF is your chance to get started on learning, developing, testing and trying out new features. Each download comes preconfigured with interactive tutorials, sample data and developments from the Apache community.
DL4J is a pretty awesome open source project that works with Spark and Hadoop. Deep Learning 4J also works as a YARN app! It includes Text, NLP, Canova Vectorization Lib for ML, Scientific computing for the JVM, distributed with clusters, and works with CUDA GPU kernels.
Take a look at the Quick Start.
DL4J is used for anomaly detection (fraud detection), recommender systems, predictive analytics with logs and image recognition.
In a related open source project, Skymind built a numerical computing library ND4J, or n-dimensional arrays for Java, essentially porting Numpy to the JVM. ND4J powers Deeplearning4j, since deep-learning relies heavily on linear algebra and calculus. And the real work of ND4J is done in C++ with libnd4j. .
It is very easy to get started and run their code in IntelliJ, even on an average machine the results are quick.
DL4J Resources
Skymind and Hortonworks will be presenting an in-depth DL4j + Spark on HDP talk at the 2016 Hadoop Summit in San Jose, CA
Simple Setup to Run the Examples (Must Have JDK, Maven, and IntelliJ)
git clone https://github.com/deeplearning4j/dl4j-0.4-examples.git
cd dl4j-0.4-examples/
mvn clean install
brew install homebrew/science/deeplearning4j-cliHortonworks Sandbox for HDP and HDF is your chance to get started on learning, developing, testing and trying out new features. Each download comes preconfigured with interactive tutorials, sample data and developments from the Apache community.
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