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.