LOBE is a free, easy-to-use app that has everything you need to train custom machine learning models. Lobe simplifies the process of machine learning into three easy steps. Collect and label your images. Train and understand your results. Then play with your model and improve it.
In this session we will review the necessary steps to export and run the trained image identifier model from LOBE. We will review the available export capabilities in LOBE, and we will adapt some of the exported models them to be used on an Azure Function.
At the end of the session, we will have a set of options available to use an Azure Function as a serverless API that can classify Images.

Who is it aimed for:

• Developers, Solution architects and Technology managers
• Software developers looking to learn more about Azure Functions

Why should I attend?

• Learn how to create a computer vision application using LOBE.
• Learn how to deploy the LOBE application in an Azure Function
• Network with other professionals interested in Azure Functions

Useful Event Resources:
https://www.lobe.ai/
https://www.lobe.ai/examples
https://aka.ms/CreateServerlessApps-ci
https://aka.ms/AzureFunctions-ci
https://aka.ms/ConnectServicesTogether-ci
https://aka.ms/LobeAndAzureFunctionsGitHub

Speaker:
Bruno Capuano, Senior Cloud Advocate, Microsoft
Bruno Capuano currently works as a Sr. Cloud Advocate at Microsoft focused on empowering the Toronto area to build awesome things with Azure. Bruno was a Microsoft MVP for 14 years and has over 20 years of experience as a software developer and loves to tinker with electronics. He lives in a small town near Toronto with his wife and two adorable kids.