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.

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 ...

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 ...

The goal of a regression problem is to predict a single numeric value, for example, predicting the price of a used car based on variables such as mileage, brand and year manufactured. There are ...

Dr. James McCaffrey of Microsoft Research details the "Hello World" of image classification: a convolutional neural network (CNN) applied to the MNIST digits dataset. The "Hello World" of image ...

Learn about the Network in Network architecture and its impact on improving performance in deep neural networks using PyTorch. ‘Slap in the Face’: Court Ruling on Gun Law Sparks Fury Mom Worried If ...