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.

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

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 ...

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 ...

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.

The Data Science Lab Binary Classification Using PyTorch, Part 1: New Best Practices Because machine learning with deep neural techniques has advanced quickly, our resident data scientist updates ...