MXNetThe Apache Software Foundation
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Related Products
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About
DL4J takes advantage of the latest distributed computing frameworks including Apache Spark and Hadoop to accelerate training. On multi-GPUs, it is equal to Caffe in performance. The libraries are completely open-source, Apache 2.0, and maintained by the developer community and Konduit team. Deeplearning4j is written in Java and is compatible with any JVM language, such as Scala, Clojure, or Kotlin. The underlying computations are written in C, C++, and Cuda. Keras will serve as the Python API. Eclipse Deeplearning4j is the first commercial-grade, open-source, distributed deep-learning library written for Java and Scala. Integrated with Hadoop and Apache Spark, DL4J brings AI to business environments for use on distributed GPUs and CPUs. There are a lot of parameters to adjust when you're training a deep-learning network. We've done our best to explain them, so that Deeplearning4j can serve as a DIY tool for Java, Scala, Clojure, and Kotlin programmers.
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About
A hybrid front-end seamlessly transitions between Gluon eager imperative mode and symbolic mode to provide both flexibility and speed. Scalable distributed training and performance optimization in research and production is enabled by the dual parameter server and Horovod support. Deep integration into Python and support for Scala, Julia, Clojure, Java, C++, R and Perl. A thriving ecosystem of tools and libraries extends MXNet and enables use-cases in computer vision, NLP, time series and more. Apache MXNet is an effort undergoing incubation at The Apache Software Foundation (ASF), sponsored by the Apache Incubator. Incubation is required of all newly accepted projects until a further review indicates that the infrastructure, communications, and decision-making process have stabilized in a manner consistent with other successful ASF projects. Join the MXNet scientific community to contribute, learn, and get answers to your questions.
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Supported
Mac
Supported
Linux
Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Researchers, developers and professionals requiring an open-source, distributed, deep learning library for the JVM
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Audience
Developers and researchers requiring an open-source deep learning framework for research prototyping and production
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Supported
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API
Offers API
Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Company InformationDeeplearning4j
Founded: 2019
Japan
deeplearning4j.org
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Company InformationThe Apache Software Foundation
Founded: 1999
United States
mxnet.apache.org
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Categories |
Categories |
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Integrations
AWS Elastic Fabric Adapter (EFA)
Not Supported
AWS Marketplace
Not Supported
Amazon EC2 Inf1 Instances
Not Supported
Amazon EC2 P4 Instances
Not Supported
Amazon Elastic Inference
Not Supported
Amazon SageMaker Debugger
Not Supported
Amazon SageMaker Model Building
Not Supported
Apache Spark
Supported
Cameralyze
Not Supported
Flower
Not Supported
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Integrations
AWS Elastic Fabric Adapter (EFA)
Supported
AWS Marketplace
Supported
Amazon EC2 Inf1 Instances
Supported
Amazon EC2 P4 Instances
Supported
Amazon Elastic Inference
Supported
Amazon SageMaker Debugger
Supported
Amazon SageMaker Model Building
Supported
Apache Spark
Not Supported
Cameralyze
Supported
Flower
Supported
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