The PyTorch Foundation recently released PyTorch version 2.0, a 100% backward compatible update. The main API contribution of the release is a compile function for deep learning models, which speeds u ...

This is the second of two articles that explain how to create and use a PyTorch multi-class classifier. A good way to see where this article is headed is to examine the screenshot of a demo program in ...

The Data Science Lab Binary Classification Using PyTorch: Model Accuracy In the final article of a four-part series on binary classification using PyTorch, Dr. James McCaffrey of Microsoft Research ...

Facebook today open-sourced Opacus, a library for training PyTorch models with differential privacy that’s ostensibly more scalable than existing methods. With the release of Opacus, Facebook ...

PyTorch is seeing particularly strong adoption in the automotive industry—where it can be applied to pilot autonomous driving systems from the likes of Tesla and Lyft Level 5.

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.