Azure Mobile Development Enterprise Architecture
ML.NET is an open-source framework for machine learning that is available for .NET developers. We can train, build and deploy ML models for several scenarios: sentiment analysis, value prediction, and image classification with deep learning. The models can then be saved and consumed from other applications (web, desktop & mobile for instance, mainly exposing it as a REST API).
In this session, we will explore ML.NET and the above scenarios. Then, we'll create a deep learning model for image classification that will be saved & included in a REST API to make this ML task available to a Xamarin mobile app that sends images as part of a request to a server.
I'm a Microsoft MVP in Developer Technologies and AI. I am currently pursuing a PhD in Engineering Informatics at Tomas Bata University in Zlin, Czech Republic.
I've been developing .NET apps for +10 years. I find C# a really powerful language which allow us to create different kinds of software. I focus on mobile apps (Xamarin), cloud computing (Azure) and AI.
I enjoy sharing my knowledge with others.