Eclipse Deeplearning4j · GitHub
The Eclipse Deeplearning4j Project. Eclipse Deeplearning4j has 5 repositories available. Follow their code on GitHub.
Deeplearning4j is an open-source, distributed deep-learning library written for Java and Scala. It is designed to be used in business environments on distributed GPUs and CPUs. The library integrates with Hadoop and Spark and can be used to train deep learning models on large datasets.
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Website Key Features
Distributed Computing
Supports distributed computing for training models on large datasets across multiple GPUs and CPUs.
Integration with Hadoop and Spark
Seamlessly integrates with Hadoop and Spark for big data processing and analysis.
Java and Scala Support
Primarily written for Java and Scala, making it accessible for a wide range of developers.
GPU Support
Optimized for GPU computing to accelerate deep learning model training.
Extensive Documentation
Provides comprehensive documentation and tutorials for beginners and advanced users.
Community Support
Backed by a strong community of developers and contributors for support and collaboration.
Model Zoo
Includes a model zoo with pre-trained models for various tasks to get started quickly.
Customizable Layers
Offers customizable layers for building complex deep learning models tailored to specific needs.
Real-time Data Processing
Capable of processing and analyzing data in real-time for dynamic applications.
Cross-platform
Runs on multiple platforms, ensuring flexibility and accessibility for different environments.
Additional information
License
Apache License 2.0
GitHub Repository
https://github.com/eclipse/deeplearning4j
Official Website
https://deeplearning4j.org
Community Forum
https://community.konduit.ai/
Commercial Support
Available through Skymind, the company behind Deeplearning4j, offering enterprise support and services.
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