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Analyzed 4 months ago. based on code collected 4 months 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...

This Project has No vulnerabilities Reported Against it

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Languages

Languages?height=75&width=75
Java
59%
JavaScript
32%
CSS
7%
5 Other
2%

30 Day Summary

Mar 6 2017 — Apr 5 2017

12 Month Summary

Apr 5 2016 — Apr 5 2017
  • 2800 Commits
    Up + 169 (6%) from previous 12 months
  • 64 Contributors
    Up + 3 (4%) from previous 12 months