Amazon SageMaker now comes pre-configured to run Chainer in a Docker container, adding to the existing integrated Tensorflow and Apache MXNet deep learning framework containers currently available. Chainer is a popular deep learning framework that supports a variety of neural architectures where the network is defined dynamically in a “define-by-run” scheme. This means you can fully leverage Python constructs and control flows in your network. To quickly get started with Chainer, Amazon SageMaker provides sample notebooks for common workflows such as sentiment analysis and MNIST, by example, easily accessible within the Jupyter Dashboard Interface from Amazon SageMaker.