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Project Summary

Deeplearning4j is the first commercial-grade, open-source, distributed deep-learning library; designed to be used in business environments.

Deeplearning4j aims to be cutting-edge plug and play, more convention than configuration, which allows for fast prototyping for non-researchers.

Vast support of scale out:
Hadoop, Spark and Akka + AWS et al
It includes both a distributed, multi-threaded deep-learning framework and a normal single-threaded deep-learning framework.
Iterative reduce net training.
First framework adapted for a micro-service architecture.
A versatile n-dimensional array class.
GPU integration


akka aws bigdata cloud_computing cluster cpu deeplearning distributed gpu gpucomputing gpu_computing hadoop java machine_learning neuralnetworks neural_networks parallelcomputing scala spark yarn

In a Nutshell, deeplearning4j...

This Project has No vulnerabilities Reported Against it

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3 Other

30 Day Summary

Oct 7 2016 — Nov 6 2016

12 Month Summary

Nov 6 2015 — Nov 6 2016
  • 2389 Commits
    Up + 150 (6%) from previous 12 months
  • 68 Contributors
    Up + 21 (44%) from previous 12 months


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