Enabling Deep Learning in IoT Applications with Apache MXNet – AWS Online Tech Talks – #AWS

Many state of the art deep learning models have hefty compute, storage and power consumption requirements which make them impractical or difficult to use on resource-constrained devices. In this tech talk, you’ll learn why Apache MXNet, an open Source library for Deep Learning, is IoT-friendly in many ways. In addition, you’ll learn how services like AWS Lambda and AWS Greengrass make it easy to deploy MXNet models on edge devices.

Learning Objectives:
– Deep learning basics for IoT
– How to get started with deep learning on AWS
– How to deploy Apache MXNet deep learning models on the edge

About The Author
- Launched in 2006, Amazon Web Services offers a robust, fully featured technology infrastructure platform in the cloud comprised of a broad set of compute, storage, database, analytics, application, and deployment services from data center locations in the U.S., Australia, Brazil, China, Germany, Ireland, Japan, and Singapore. More than a million customers, including fast-growing startups, large enterprises, and government agencies across 190 countries, rely on AWS services to innovate quickly, lower IT costs and scale applications globally. To learn more about AWS, visit http://aws.amazon.com.

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