Beyond MNIST- Building Scalable Production ML Environments with AzureML

Join the live stream here: https://teams.microsoft.com/l/meetup-join/19%3ameeting_Mjg5ZjMxODQtODkyMC00ZmMwLTlkMzYtNTlkMmQ1OTJmYjU5%40thread.v2/0?context=%7b%22Tid%22%3a%2272f988bf-86f1-41af-91ab-2d7cd011db47%22%2c%22Oid%22%3a%22932cace5-cbcb-44ec-81e5-28027a3babf1%22%7d

With the advent of deep learning Computer Vision has undergone a tremendous transformation in the past few years. While many computer vision sessions stop at the basics with simple toy datasets such as MNIST this session will overview some of the major advances from image classification and object detection to more complex scenarios such as crowd counting and demonstrate how you can get started building scale-able AI training environments with AzureML.

Speaker bio:
Aaron (Ari) Bornstein is an AI researcher with a passion for history, engaging with new technologies and computational medicine. As an Open Source Engineer at Microsoft’s Cloud Developer Advocacy team, he collaborates with Israeli Hi-Tech Community, to solve real world problems with game changing technologies that are then documented, open sourced, and shared with the rest of the world.