Deeplearning4J Deep Learning Framework

A Deeplearning4J Deep Learning Framework is a deep network learning system maintained by the DL4J project.

• AKA: DL4J.
  • …
• Example(s):
  • Deeplearning4J v0.9.1.
  • …
• Counter-Example(s):
  • Metronome System.
• See: ND4J, Deep Learning System.

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References

2017b

• https://deeplearning4j.org/overview
  • QUOTE: DeepLearning4J is a java based toolkit for building, training and deploying Neural Networks.

    DeepLearning4J has the following sub-projects.

    • DataVec performs data ingestion, normalization and transformation into feature vectors
    • DeepLearning4j provides tools to configure neural networks and build computation graphs
    • DL4J-Examples contains working examples for classification and clustering of images, time series and text.
    • Keras Model Import helps import trained models from Python and Keras to DeepLearning4J and Java.
    • ND4J allows Java to access Native Libraries to quickly process Matrix Data on CPUs or GPUs.
    • ScalNet is a Scala wrapper for Deeplearning4j inspired by Keras. Runs on multi-GPUs with Spark.
    • RL4J implements Deep Q Learning, A3C and other reinforcement learning algorithms for the JVM.
    • Arbiter helps search the hyperparameter space to find the best neural net configuration.

2017b

• http://skymind.ai
  • QUOTE: Skymind is the company behind Deeplearning4j, the only commercial-grade, open-source, distributed deep-learning library written for Java and Scala. Integrated with Hadoop and Spark, DL4J is specifically designed to run in business environments on distributed GPUs and CPUs.

2014

• http://deeplearning4j.org/about.html
  • QUOTE: Deeplearning4j is an open-source, distributed deep-learning project in Java spearheaded by the people at Skymind, a San Francisco-based business intelligence and enterprise software firm. We’re a team of data scientists, deep-learning specialists, Java programmers and semi-sentient robots.

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