边缘设备的深度学习

IEEE Potentials Pub Date : 2023-07-01 DOI:10.1109/MPOT.2022.3182519

Luiz Zaniolo, Christian Garbin, Oge Marques

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引用次数: 0

摘要

深度学习（DL）已经彻底改变了人工智能（AI）领域。从本质上讲，DL包括构建、训练和部署大型多层神经网络。DL技术已成功应用于计算机视觉（CV）、自然语言处理（NLP）、网络安全和其他几个领域。随着DL应用越来越普遍，另一个趋势正在发生：边缘设备的使用越来越多。部署在便携式（边缘）设备上的DL/AI解决方案的组合被称为边缘AI。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Deep learning for edge devices

Deep learning (DL) has revolutionized the field of artificial intelligence (AI). At its essence, DL consists of building, training, and deploying large, multilayered neural networks. DL techniques have been successfully used in computer vision (CV), natural language processing (NLP), network security, and several other fields. As DL applications become more ubiquitous, another trend is taking place: the growing use of edge devices. The combination of DL/AI solutions deployed on portable (edge) devices is known as edge AI.

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来源期刊

IEEE Potentials Social Sciences-Education

CiteScore

1.40

自引率

0.00%

发文量

期刊介绍： IEEE Potentials is the magazine dedicated to undergraduate and graduate students and young professionals. IEEE Potentials explores career strategies, the latest in research, and important technical developments. Through its articles, it also relates theories to practical applications, highlights technology?s global impact and generates international forums that foster the sharing of diverse ideas about the profession.