Dr. James McCaffrey of Microsoft Research provides a full code sample and screenshots to explain how to create and use PyTorch Dataset and DataLoader objects, used to serve up training or test data in ...

When using the PyTorch neural network library to create a machine learning prediction model, you must prepare the training data and write code to serve up the data in batches. In situations where the ...

Learn how to build your own AI agent from scratch with Python. This step-by-step guide makes AI development accessible for ...

PyTorch 1.10 is production ready, with a rich ecosystem of tools and libraries for deep learning, computer vision, natural language processing, and more. Here's how to get started with PyTorch.

With WSL2 and WSLg installed, you next need to set up a virtual Python environment to host PyTorch. Microsoft’s documentation is based around Miniconda Python from the Anaconda team.