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Supercharge Your ML Model with Amazon SageMaker & Infer at the Edge Using AWS DeepLens
Atanu Roy, AI Specialist Solutions Architect, Amazon
Machine learning often feels a lot harder than it should be to most developers because the process to build and train models, and then deploy them into production is too complicated and slow. Amazon SageMaker removes the complexity that holds back developer success with each of these steps. Amazon SageMaker includes modules that can be used together or independently to build, train, and deploy your machine learning models. In this session you will learn how to use Amazon SageMaker to build, train, test, and deploy a machine learning model. Taking it a step further we’ll show you how easy it is to train a Computer Vision model using Amazon SageMaker and deploy into the AWS DeepLens device from the AWS console and start capturing streaming videos with the DeepLens camera and run inferences on the device.