Documentation & Forums
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.
Introduction to Deep Learning
This presentation provide an overview of deep learning focusing on relevant application domains. You'll be introduced 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
Developing deep learning applications just got even simpler and faster. This presentation show how to program deep learning models using Gluon, the new intuitive, dynamic programming interface available for the Apache MXNet open-source framework.
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.