5
I Use This!
Activity Not Available
Analyzed 11 months ago. based on code collected 11 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 gpu_computing gpucomputing hadoop java machine_learning neural_networks neuralnetworks parallelcomputing scala spark yarn

Apache License 2.0
Permitted

Commercial Use

Modify

Distribute

Place Warranty

Sub-License

Private Use

Use Patent Claims

Forbidden

Hold Liable

Use Trademarks

Required

Include Copyright

State Changes

Include License

Include Notice

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

Security Confidence Index

Poor security track-record
Favorable security track-record

Vulnerability Exposure Index

Many reported vulnerabilities
Few reported vulnerabilities

Did You Know...

  • ...
    65% of companies leverage OSS to speed application development in 2016
  • ...
    check out hot projects on the Open Hub
  • ...
    55% of companies leverage OSS for production infrastructure
  • ...
    search using multiple tags to find exactly what you need
About Project Security

Languages

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

30 Day Summary

Dec 18 2023 — Jan 17 2024

12 Month Summary

Jan 17 2023 — Jan 17 2024
  • 89 Commits
    Down -84 (48%) from previous 12 months
  • 7 Contributors
    Down -1 (12%) from previous 12 months

Ratings

1 user rates this project:
4.0
   
4.0/5.0
Click to add your rating
  
Review this Project!