Windows ML samples

This repo contains sample apps that demonstrate how to use Windows ML to build machine learning applications for Windows 10.

For tutorials, how-tos, and additional information, see the Windows ML documentation: https://docs.microsoft.com/windows/uwp/machine-learning

Sample apps

These generic examples show how to use various models and input feeds with Windows ML.

• MNIST: Uses the MNIST model to recognize a numeric digit drawn by the user.
• SqueezeNet: Uses the SqueezeNet model to detect the predominant object in an image.
• WinMLExplorer: Uses a circuit board defect detection model to detect defects from images or a real-time camera feed.

Requirements

• Windows 10 - Build 17110 or higher
• Windows SDK - Build 17110 or higher

Contributing

We're always looking for your help to fix bugs and improve the samples. Create a pull request, and we'll be happy to take a look.

This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact [email protected] with any additional questions or comments.