Create a machine learning model for offline use on a Windows device
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Create a machine learning model for offline use on a Windows device

Experience and understand the benefits of local client-side evaluation with the intelligent edge.

Microsoft Learn
Updated Jun 15, 2025

What you'll learn

  • Compare using a machine learning model locally with Windows ML to a cloud-based system.
  • Set up a simple UWP app with C#.
  • Add a pretrained machine learning model to your app.
  • Load the model, bind the inputs and outputs, and use it to evaluate input.
  • Test the model. Draw digits into a Windows InkCanvas to see whether the model recognizes what number we drew.
Course Description

Experience the benefits of local client-side evaluation with the intelligent edge. Download a pretrained image classification model and add it to a UWP app. By using Windows Machine Learning (ML), models can run evaluations offline on any Windows 10 device.