PyTorch.org tutorials Perhaps the most obvious place to start is the PyTorch website itself. Along with the usual resources such as an API reference, the website includes more digestible works ...

In this article, we’ll dive into the world of Federated Learning, explore its key principles and algorithms, and provide a practical implementation using PyTorch, a popular deep learning library.

Learn how to create a simple neural network, and a more accurate convolutional neural network, with the PyTorch deep learning library PyTorch is a Python-based tensor computing library with high ...

Originally created by Meta, PyTorch has become an important tool for machine learning and people developing AI models.

Using PyTorch to streamline machine-learning projects A platform that lets surgeons browse videos of past operations has found a way to make its machine learning more effective.

PyTorch is currently one of the most popular machine learning frameworks owing to the ease of model implementation 2 and, to make it available to a wider audience, kMoL supports model development ...

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 ...

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

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 ...