书目名称 | Embedded Artificial Intelligence | 副标题 | Principles, Platform | 编辑 | Bin Li | 视频video | | 概述 | Offers a comprehensive introduction to embedded artificial intelligence with a clear and logical structure.Provides rich and in-depth coverage of embedded AI principles, platforms, and practical aspec | 图书封面 |  | 描述 | .This book focuses on the emerging topic of embedded artificial intelligence and provides a systematic summary of its principles, platforms, and practices. In the section on principles, it analyzes three main approaches for implementing embedded artificial intelligence: cloud computing mode, local mode, and local-cloud collaborative mode. The book identifies five essential components for implementing embedded artificial intelligence: embedded AI accelerator chips, lightweight neural network algorithms, model compression techniques, compiler optimization techniques, and multi-level cascaded application frameworks. The platform section introduces mainstream embedded AI accelerator chips and software frameworks currently used in the industry. The practical part outlines the development process of embedded artificial intelligence and showcases real-world application examples with accompanying code...As a comprehensive guide to the emerging field of embedded artificial intelligence, the book offers rich and in-depth content, a clear and logical structure, and a balanced approach to both theoretical analysis and practical applications. It provides significant reference value and can serv | 出版日期 | Book 2024 | 关键词 | Embedded Artificial Intelligence; Embedded AI; Edge AI; TinyML; Model Compression; Embedded AI Accelerato | 版次 | 1 | doi | https://doi.org/10.1007/978-981-97-5038-2 | isbn_softcover | 978-981-97-5037-5 | isbn_ebook | 978-981-97-5038-2 | copyright | Tsinghua University Press, Beijing China. 2024 |
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