CIFAR-10 problems analyze crude 32 x 32 color images to predict which of 10 classes the image is. Here, Dr. James McCaffrey of Microsoft Research shows how to create a PyTorch image classification ...

A new version of the machine learning technology that Facebook Inc. uses to do some 6 billion language translations a day will soon be available more widely. The social network giant, and engineering ...

For many surgeons, the possibility of going back into the operating room to review the actions they carried out on a patient could provide invaluable medical insights. Using a mix of PyTorch, a ...

At last week's Spark AI Summit Europe, we had the chance to discuss with some of the rock stars of this community. MLFlow's new version was presented in Databricks Chief Technologist Matei Zaharia's ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Facebook today announced the release of deep learning framework PyTorch 1 ...

Facebook wants to make sure the open-source PyTorch machine-learning framework supports the needs of developers who want to use its AI models in production systems, not just research projects, it ...

PyTorch is an open source machine learning framework used for developing deep learning models. Originally created by Meta AI ...

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.

This article explains how to create a PyTorch image classification system for the CIFAR-10 dataset. CIFAR-10 images are crude 32 x 32 color images of 10 classes such as "frog" and "car." A good way to ...