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 ...

The enticing new title courtesy of Packt Publishing, “Machine Learning with PyTorch and Scikit-Learn,” by Sebastian Raschka, Yuxi (Hayden) Liu, and Vahid Mirjalili is a welcome addition to any data ...

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.

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 ...

AWS and Facebook today announced two new open-source projects around PyTorch, the popular open-source machine learning framework. The first of these is TorchServe, a model-serving framework for ...

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 ...