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 does most, but not all, of the hard work for you. It's not easy to understand neural network training without seeing a working program. The test program shown in Listing 4 demonstrates how to ...

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, ...

TigerGraph, provider of a leading graph analytics platform, is introducing the TigerGraph ML (Machine Learning) Workbench—a powerful toolkit that enables data scientists to significantly improve ML ...

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 ...

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 ...

Learn about the Network in Network architecture and its impact on improving performance in deep neural networks using PyTorch. Maddow Blog | Rubio’s latest moves raise fresh doubts about the future of ...