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.

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 ...

Deep learning is transforming the way we approach complex problems in various fields, from image recognition to natural language processing. Among the tools available to researchers and developers, ...

Google LLC’s Android team today added support for a new prototype feature that makes it possible for developers to perform “hardware accelerated inference” on mobile devices using the PyTorch ...

Amazon, Google, Microsoft, Facebook—these companies and many others are vying to create the richest and easiest libraries for machine learning and deep learning. Competition is good! Our 2018 Bossie ...

On the second day of Facebook's "F8" conference at the San Jose convention center, the company announced an updated version of its PyTorch development framework, Version 1.1, with a raft of new ...

Dr. James McCaffrey of Microsoft Research presents the second of four machine learning articles that detail a complete end-to-end production-quality example of neural regression using PyTorch. The ...