將模型透過Windows ML 整合到您的應用程式中

This repo contains Windows Machine Learning samples and tools that demonstrate how to build machine learning powered scenarios into Windows applications.

A 12-week, 26-lesson curriculum all about Machine Learning. In this curriculum, you will learn about what is sometimes called classic machine learning. Discussions · Issues 6 · Pull requests 7 · Actions

In this tutorial, we'll build a simple Universal Windows Platform application that uses a trained machine learning model to recognize a numeric digit drawn ...

ML.NET is a cross-platform open-source machine learning (ML) framework for .NET. ML.NET allows developers to easily build, train, deploy, and consume custom ... Machinelearning-samples · Issues 981 · Pull requests 9 · Actions

The WinMLRunner is a command-line based tool that can run .onnx or .pb models where the input and output variables are tensors or images.

Samples and Tools for Windows ML. Contribute to microsoft/Windows-Machine-Learning development by creating an account on GitHub.

MicrosoftMLRunner is useful to compare performance with an older version of WinML or to test a newer version of WinML's NuGet.

我們也建議您查看GitHub 上的範例應用程式 ，以查看端對端Windows ML 程式代碼範例。 下列影片會在簡短示範中顯示這些API 運作情形。

Cloud Advocates at Microsoft are pleased to offer a 12-week, 26-lesson curriculum all about Machine Learning. In this curriculum, you will learn about what ...

DirectML, a powerful machine learning API developed by Microsoft, is fast, versatile, and works seamlessly across a wide range of hardware platforms.