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Analyzed about 10 hours 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 gpu_computing gpucomputing hadoop java machine_learning neural_networks neuralnetworks parallelcomputing scala spark yarn

Apache License 2.0
Permitted

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Hold Liable

Use Trademarks

Required

Include Copyright

State Changes

Include License

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

Project Security

Vulnerabilities per Version ( last 10 releases )

Project Vulnerability Report

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Vulnerability Exposure Index

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About Project Security

Languages

Java
64%
C++
27%
12 Other
9%

30 Day Summary

Mar 16 2024 — Apr 15 2024

12 Month Summary

Apr 15 2023 — Apr 15 2024
  • 45 Commits
    Down -135 (75%) from previous 12 months
  • 7 Contributors
    Down 0 (0%) from previous 12 months

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