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.

Si TensorFlow conserve encore certains avantages, les spécialistes du deep learning regarde avec intérêt le framework PyTorch. Nos confrères d'InfoWorld reviennent sur les raisons de cet ...

The Data Science Lab Regression Using PyTorch, Part 1: New Best Practices Machine learning with deep neural techniques has advanced quickly, so Dr. James McCaffrey of Microsoft Research updates ...

Facebook parent company Meta Platforms Inc. announced today that it’s handing over control of the popular PyTorch artificial intelligence platform it created to the Linux Foundation’s newly ...

The latest version of Facebook's open source deep learning library PyTorch comes with quantization, named tensors, and Google Cloud TPU support.

Machine Learning : TensorFlow conserve encore certains avantages, mais l'on peut trouver chaque jour de bons arguments en faveur de PyTorch.

Simultaneously, Google Cloud Platform's Deep Learning VM has a new PyTorch 1.0 VM image. This comes with NVIDIA drivers and tutorials preinstalled.

PyTorch 1.8.1 introduces the PyTorch Profiler, which is a tool for performance analysis and troubleshooting for large-scale deep learning models.