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.

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More After months in preview, PyTorch 2.0 has been made generally available by ...

Learn how to build a digit recognition model from scratch using PyTorch! This beginner-friendly deep learning project walks you through loading the MNIST dataset, creating a neural network, training ...

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At last week's Spark AI Summit Europe, we had the chance to discuss with some of the rock stars of this community. MLFlow's new version was presented in Databricks Chief Technologist Matei Zaharia's ...

The Data Science Lab Binary Classification Using PyTorch: Preparing Data Dr. James McCaffrey of Microsoft Research kicks off a series of four articles that present a complete end-to-end ...

A subcategory of machine learning, deep learning uses multi-layered neural networks to automate historically difficult machine tasks—such as image recognition, natural language processing (NLP), and ...

PyTorch was born at Facebook in 2018 as a unified machine learning framework. It was created as a successor to Caffe2, one of the popular ML frameworks for building deep learning models. The ...

Meta is selecting Amazon Web Services as its long-term strategic cloud provider to complement its on-premises infrastructure and round out its integration and PyTorch strategy. The partnership has ...