Audience

Deep Learning solution that helps developers quickly build scalable, secure deep learning applications

About AWS Deep Learning AMIs

AWS Deep Learning AMIs (DLAMI) provides ML practitioners and researchers with a curated and secure set of frameworks, dependencies, and tools to accelerate deep learning in the cloud. Built for Amazon Linux and Ubuntu, Amazon Machine Images (AMIs) come preconfigured with TensorFlow, PyTorch, Apache MXNet, Chainer, Microsoft Cognitive Toolkit (CNTK), Gluon, Horovod, and Keras, allowing you to quickly deploy and run these frameworks and tools at scale. Develop advanced ML models at scale to develop autonomous vehicle (AV) technology safely by validating models with millions of supported virtual tests. Accelerate the installation and configuration of AWS instances, and speed up experimentation and evaluation with up-to-date frameworks and libraries, including Hugging Face Transformers. Use advanced analytics, ML, and deep learning capabilities to identify trends and make predictions from raw, disparate health data.

Integrations

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Company Information

Amazon
Founded: 2006
United States
aws.amazon.com/machine-learning/amis/

Videos and Screen Captures

AWS Deep Learning AMIs Screenshot 1
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Product Details

Platforms Supported
Cloud
Training
Documentation
Support
Online

AWS Deep Learning AMIs Frequently Asked Questions

Q: What kinds of users and organization types does AWS Deep Learning AMIs work with?
Q: What languages does AWS Deep Learning AMIs support in their product?
Q: What kind of support options does AWS Deep Learning AMIs offer?
Q: What other applications or services does AWS Deep Learning AMIs integrate with?
Q: What type of training does AWS Deep Learning AMIs provide?

AWS Deep Learning AMIs Product Features

Deep Learning

Visualization
Image Segmentation
Document Classification
ML Algorithm Library
Self-Learning
Neural Network Modeling
Model Training
Convolutional Neural Networks