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...
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has a well established, mature codebase
maintained by a average size development team
with increasing Y-O-Y commits -
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took an estimated 314 years of effort (COCOMO model)
starting with its first commit in June, 2019
ending with its most recent commit 16 days ago
Quick Reference
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
Include Notice
These details are provided for information only. No information here is legal advice and should not be used as such.
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30 Day SummaryMay 25 2025 — Jun 24 2025
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12 Month SummaryJun 24 2024 — Jun 24 2025
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