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

In the final article of a four-part series on binary classification using PyTorch, Dr. James McCaffrey of Microsoft Research shows how to evaluate the accuracy of a trained model, save a model to file ...

The overall structure of the PyTorch multi-class classification program, with a few minor edits to save space, is shown in Listing 3. I indent my Python programs using two spaces rather than the more ...

The open source PyTorch machine learning (ML) framework is widely used today for AI training, but that’s not all it can do. IBM sees broader applicability for PyTorch and is working on a series ...

The logical place to train a new model is on a cloud-hosted platform, such as Azure’s Machine Learning studio. This can get expensive, requiring large virtual machines to host your models and a ...

To deploy PyTorch models on Arm edge devices, you need to optimize the model, prepare the software, and use the right hardware. These steps help you deploy AI applications at the edge.

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 ...

The deep learning framework PyTorch has infiltrated the enterprise thanks to its relative ease of use. Three companies tell us why they chose PyTorch over Google’s renowned TensorFlow framework.