In this tutorial, we’ll dive into the basics of running PyTorch on Linux, from installation to creating and training a simple neural network that can recognize digits.

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.

PyTorch has become one of the more important Python libraries for people working in data science and AI. Microsoft recently added enterprise support for PyTorch deep learning on Azure.

Learn how to train a neural network to recognize hand-drawn digits using PyTorch! A fun and beginner-friendly intro to deep learning and computer vision.

Facebook's deep learning framework PyTorch 1.0 is now available in preview and has integrations with Google Cloud, AWS, and Azure Machine Learning.

Machine learning with deep neural techniques has advanced quickly, so Dr. James McCaffrey of Microsoft Research updates regression techniques and best practices guidance based on experience over the ...

Soumith Chintala from Facebook AI Research, PyTorch project lead, talks about the thinking behind its creation, and the design and usability choices made. Facebook is now unifying machine learning ...

Learn how Network in Network (NiN) architectures work and how to implement them using PyTorch. This tutorial covers the concept, benefits, and step-by-step coding examples to help you build better ...

Fast.ai today announced the 1.0 version of fastai, a free, open source deep learning library that runs on top of Facebook's PyTorch framework.

Microsoft claims its new PyTorch Enterprise on Microsoft Azure is the first offering from a cloud platform to provide enterprise support for PyTorch, the popular open source deep learning framework.