Use DirectML to train PyTorch machine learning models on a PC

Machine learning is an increasingly important tool for developers, providing a way to build applications that can deliver a wide range of prediction-based tasks. In the past you might have had to build a complex rules engine, using numeric techniques to deliver the required statistical models. Now you can work with a ML platform to build, train, and test models for your applications.

We call ML outputs predictions, but they can be anything. If you’re using computer vision, they can be identified objects. If you’re using a language model, they’re intent or translations. But whatever the output, it’s a statistically weighted response with a confidence level that can validate any returns.

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