Documentation & forum
Provides a overview of the AWS Deep Learning AMIs, including detailed instructions for selecting the right AMI for your project, setting up the AMI, as well as quick and easy tutorials to get you started.
Start a discussion with other machine learning practitioners, and post your questions in the AWS Deep Learning AMIs community forum.
Launch an AWS Deep Learning AMI
In this step-by-step tutorial, you'll learn how to launch an AWS Deep Learning AMI. The AMIs are machine images loaded with deep learning frameworks that make it simple to get started with deep learning in minutes. Start the tutorial >>
Introduction to Deep Learning
Learn about popular deep learning frameworks such as Apache MXNet and TensorFlow, and how to select the right fit for your targeted use cases.
Deep Learning with Apache MXNet and Gluon
Program deep learning models using Gluon, the intuitive, dynamic programming interface for Apache MXNet.
Amazon SageMaker for machine learning
Amazon SageMaker is a fully-managed service that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. Amazon SageMaker removes all the barriers that typically slow down developers who want to use machine learning.