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Analyzed about 11 hours ago. based on code collected about 11 hours 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

Commercial Use

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Private Use

Use Patent Claims

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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 )

There are no reported vulnerabilities

Project Vulnerability Report

Security Confidence Index

Poor security track-record
Favorable security track-record

Vulnerability Exposure Index

Many reported vulnerabilities
Few reported vulnerabilities

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About Project Security

Languages

Java
65%
C++
26%
14 Other
9%

30 Day Summary

Sep 5 2022 — Oct 5 2022

12 Month Summary

Oct 5 2021 — Oct 5 2022
  • 493 Commits
    Down -583 (54%) from previous 12 months
  • 11 Contributors
    Down -13 (54%) from previous 12 months

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