Related Products
|
||||||
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.
|
About
Transition seamlessly between eager and graph modes with TorchScript, and accelerate the path to production with TorchServe. Scalable distributed training and performance optimization in research and production is enabled by the torch-distributed backend. A rich ecosystem of tools and libraries extends PyTorch and supports development in computer vision, NLP and more. PyTorch is well supported on major cloud platforms, providing frictionless development and easy scaling. Select your preferences and run the install command. Stable represents the most currently tested and supported version of PyTorch. This should be suitable for many users. Preview is available if you want the latest, not fully tested and supported, 1.10 builds that are generated nightly. Please ensure that you have met the prerequisites (e.g., numpy), depending on your package manager. Anaconda is our recommended package manager since it installs all dependencies.
|
|||||
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
|||||
Audience
Researchers, developers and professionals requiring an open-source, distributed, deep learning library for the JVM
|
Audience
Researchers in need of an open source machine learning solution to accelerate research prototyping and production deployment
|
|||||
Support
Phone Support
24/7 Live Support
Online
|
Support
Phone Support
24/7 Live Support
Online
|
|||||
API
Offers API
|
API
Offers API
|
|||||
Screenshots and Videos |
Screenshots and Videos |
|||||
Pricing
No information available.
Free Version
Free Trial
|
Pricing
No information available.
Free Version
Free Trial
|
|||||
Reviews/
|
Reviews/
|
|||||
Training
Documentation
Webinars
Live Online
In Person
|
Training
Documentation
Webinars
Live Online
In Person
|
|||||
Company InformationDeeplearning4j
Founded: 2019
Japan
deeplearning4j.org
|
Company InformationPyTorch
Founded: 2016
pytorch.org
|
|||||
Alternatives |
Alternatives |
|||||
|
|
|||||
|
||||||
|
||||||
Categories |
Categories |
|||||
Integrations
Activeeon ProActive
Amazon EC2 Capacity Blocks for ML
Amazon EC2 Inf1 Instances
Amazon SageMaker Model Training
Amazon Web Services (AWS)
Comet
Cyfuture Cloud
Google Cloud Deep Learning VM Image
Hadoop
Hugging Face Transformers
|
Integrations
Activeeon ProActive
Amazon EC2 Capacity Blocks for ML
Amazon EC2 Inf1 Instances
Amazon SageMaker Model Training
Amazon Web Services (AWS)
Comet
Cyfuture Cloud
Google Cloud Deep Learning VM Image
Hadoop
Hugging Face Transformers
|
|||||
|
|