Windows Machine Learning (ML) allows you to use trained machine learning models in your applications. The platform evaluates trained models locally on Windows 10 devices, providing hardware-accelerated performance by leveraging the device's CPU or GPU, and computes evaluations for both classical ML algorithms and Deep Learning.
In this section
|Overview||Learn about Windows ML and how to use trained models in your app.|
|Get started||Create your first Windows ML app with this step-by-step tutorial.|
|Train a model||Train a model for Windows ML using Visual Studio Tools for AI.|
|Convert a model||Convert existing models to ONNX format to use with Windows ML.|
|Integrate a model||Integrate a model into your app by following the load, bind, and evaluate pattern.|
|Sample apps||See sample UWP apps that demonstrate how to use Windows ML.|