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
In a Nutshell, deeplearning4j...
- ...
- ...
-
...
has a well established, mature codebase
maintained by a average size development team
with increasing Y-O-Y commits -
...
took an estimated 313 years of effort (COCOMO model)
starting with its first commit in June, 2019
ending with its most recent commit 19 days ago
Quick Reference
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
Vulnerability Exposure Index
Did You Know...
-
...
65% of companies leverage OSS to speed application development in 2016
-
...
you can subscribe to e-mail newsletters to receive update from the Open Hub blog
-
...
nearly 1 in 3 companies have no process for identifying, tracking, or remediating known open source vulnerabilities
-
...
search using multiple tags to find exactly what you need
30 Day SummaryApr 6 2025 — May 6 2025
|
12 Month SummaryMay 6 2024 — May 6 2025
|
