Deep Learning at the Edge

Deep Learning at the Edge

Explore deep learning applications at the edge in this 54-minute conference talk by Gavin Adams from Amazon Web Services. Gain insights into edge architecture, constraints, and use cases, including wind turbine farms and computer vision. Learn about system and user packages, Toradex demo hardware and architecture, intermittent connectivity challenges, and security considerations. Discover strategies for managing edge components, including operating systems, orchestration, machine learning, and edge logic development. Understand the laws of the edge and design considerations for implementing deep learning in edge computing environments.