Dr. James McCaffrey of Microsoft Research continues his four-part series on multi-class classification, designed to predict a value that can be one of three or more possible discrete values, by ...
ExecuTorch 1.0 allows developers to deploy PyTorch models directly to edge devices, including iOS and Android devices, PCs, and embedded systems, with CPU, GPU, and NPU hardware acceleration.
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Kenneth Harris, a NASA veteran who worked on ...
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More The open source PyTorch machine learning (ML) framework is widely used ...
Alif Semiconductor®, the leading global supplier of secure, connected, power efficient Artificial Intelligence and Machine ...
Artificial intelligence development startup Lightning AI Inc. today announced the general availability of PyTorch Lightning 2.0, an open-source AI framework that’s used by thousands of organizations ...
The open source AI ecosystem took a decisive leap forward today as the PyTorch Foundation announced that Ray, the distributed computing framework originally developed by Anyscale, has officially ...
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 ...
The goal of a multi-class classification problem is to predict a value that can be one of three or more possible discrete values, for example "low," "medium" or "high" for a person's annual income.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback