The Data Science Lab Neural Regression Using PyTorch: Model Accuracy Dr. James McCaffrey of Microsoft Research explains how to evaluate, save and use a trained regression model, used to predict a ...

Dr. James McCaffrey of Microsoft Research continues his four-part series on multi-class classification, designed to predict a value that can be one of three or more possible discrete values, by ...

The open source PyTorch machine learning (ML) framework is widely used today for AI training, but that’s not all it can do. IBM sees broader applicability for PyTorch and is working on a series ...

What is PyTorch? PyTorch is a deep learning framework designed to simplify AI model development. First released by Meta AI, it was built to improve the flexibility of deep learning research.

Cloudian’s new PyTorch connector is built on Nvidia Corp.’s GPUDirect Storage technology and optimized for Nvidia Spectrum-X ...

Which of these deep learning frameworks should you use? In this article, we’ll take a high-level comparative look at TensorFlow, PyTorch, and JAX. We’ll aim to give you some idea of the types ...

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 ...

Facebook launched PyTorch Hub today for AI research reproducibility. PyTorch Hub publishes pretrained models by adding a file to a GitHub repository.

To deploy PyTorch models on Arm edge devices, you need to optimize the model, prepare the software, and use the right hardware. These steps help you deploy AI applications at the edge.

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 ...