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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.
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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 [Less]
1.1M
lines of code
17
current contributors
4 months
since last commit
5
users on Open Hub