Developed by Meta, PyTorch is a popular machine learning library that helps develop and train neural networks.

PyTorch is not designed for general-purpose programming or traditional software development. Importantly, it requires knowledge of machine learning and deep learning concepts, making it unsuitable ...

PyTorch 1.0 shines for rapid prototyping with dynamic neural networks, auto-differentiation, deep Python integration, and strong support for GPUs Deep learning is an important part of the business ...

PyTorch has taken the world of deep learning research by storm, outstripping TensorFlow as the implementation framework of choice in submitted papers for AI conferences in the past two years.

PyTorch, the Facebook-backed open-source library for the Python programming language, has reached version 1.9 and brings major improvements for scientific computing.

Most deep learning books are based on one of several popular Python libraries such as TensorFlow, PyTorch, or Keras. In contrast, Grokking Deep Learning teaches you deep learning by building ...

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 ...

In this video from CSCS-ICS-DADSi Summer School, Atilim Güneş Baydin presents: Deep Learning and Automatic Differentiation from Theano to PyTorch. Inquisitive minds want to know what causes the ...