Updated Candidate Recommendation: Web Neural Network API

This document describes a dedicated low-level API for neural network inference hardware acceleration.


This content originally appeared on W3C - News and was authored by W3C - News

The Web Machine Learning Working Group invites implementations of an updated Candidate Recommendation Snapshot of Web Neural Network API. This document describes a dedicated low-level API for neural network inference hardware acceleration.

The Web Neural Network API defines a web-friendly hardware-agnostic abstraction layer that makes use of Machine Learning capabilities of operating systems and underlying hardware platforms without being tied to platform-specific capabilities. The abstraction layer addresses the requirements of key Machine Learning JavaScript frameworks and also allows web developers familiar with the ML domain to write custom code without the help of libraries.

Comments are welcome via the GitHub issues by 1 October 2024.


This content originally appeared on W3C - News and was authored by W3C - News


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W3C - News | Sciencx (2024-04-11T03:30:00+00:00) Updated Candidate Recommendation: Web Neural Network API. Retrieved from https://www.scien.cx/2024/04/11/updated-candidate-recommendation-web-neural-network-api/

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