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Analyzed 1 day ago. based on code collected 1 day ago.

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

Tags

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...

Apache License 2.0
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These details are provided for information only. No information here is legal advice and should not be used as such.

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This Project has No vulnerabilities Reported Against it

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Languages

Languages?height=75&width=75
Java
55%
JavaScript
35%
CSS
7%
5 Other
3%

30 Day Summary

Aug 24 2017 — Sep 23 2017

12 Month Summary

Sep 23 2016 — Sep 23 2017
  • 3165 Commits
    Up + 883 (38%) from previous 12 months
  • 64 Contributors
    Down -3 (4%) from previous 12 months