In the dynamic world of machine learning, two heavyweight frameworks often dominate the conversation: PyTorch and TensorFlow. These frameworks are more than just a means to create sophisticated ...

Not every regression or classification problem needs to be solved with deep learning. For that matter, not every regression or classification problem needs to be solved with machine learning. After ...

Not every regression or classification problem needs to be solved with deep learning. For that matter, not every regression or classification problem needs to be solved with machine learning. After ...

Is PyTorch better than TensorFlow for general use cases? originally appeared on Quora: the place to gain and share knowledge, empowering people to learn from others and better understand the world.

SANTA CLARA, Calif.--(BUSINESS WIRE)--Tachyum™ Inc. today announced that it has further expanded the capabilities of its Prodigy Universal Processor through support for TensorFlow and PyTorch ...

As the popularity of the Python programming language persists, a user survey of search topics identifies a growing focus on AI and machine learning tasks and, with them, greater adoption of related ...

This article is part of the VB Lab Microsoft / NVIDIA GTC insight series. With the rapid pace of change taking place in AI and machine learning technology, it’s no surprise Microsoft had its usual ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More The open-source TensorFlow machine learning library is getting faster, ...

During last year’s F8 developer conference, Facebook announced the 1.0 launch of PyTorch, the company’s open-source deep learning platform. At this year’s F8, the company launched version 1.1. The ...

AWS and Facebook today announced two new open-source projects around PyTorch, the popular open-source machine learning framework. The first of these is TorchServe, a model-serving framework for ...