Model Serving for Deep Learning

• What we'll do
Deep Learning has been delivering state of the art results across a growing number of problems and domains. Correspondingly, Deep Learning models are being deployed across a growing number of applications and use cases. In this talk, you will learn about what deploying deep neural networks to production mean, design considerations and challenges for model serving, and how the open source project Model Serving for Apache MXNet is designed to address these challenges.

Speaker:
Hagay Lupesko, Engineering Leader, Amazon AI

Hagay has been busy building software for the past 15 years, and still enjoys every bit of it (literally)! He engineered and shipped products across various domains: from 3D cardiac imaging with real time in-vessel tracking, through semi-conductors fab systems that measures structures the size of molecules, and up to web apps that scale to millions of users worldwide.
He is currently an Engineering Leader at AWS, working on AI and Deep Learning.

• What to bring

• Important to know