| 书目名称 | Embedded Machine Learning with Microcontrollers | | 副标题 | Applications on STM3 | | 编辑 | Cem Ünsalan,Berkan Höke,Eren Atmaca | | 视频video | | | 概述 | Teaches the embedded system design skills needed for today’s job market.Thoroughly explains each concept and provides illustrated examples and projects.Includes sample codes and course slides and a so | | 图书封面 |  | | 描述 | .This textbook introduces basic embedded machine learning methods by exploring practical applications on STM32 development boards. Covering traditional and neural network-based machine learning methods implemented on microcontrollers, the text is designed for use in courses on microcontrollers, microprocessor systems, and embedded systems. Following the learning by doing approach, the book will enable students to grasp embedded machine learning concepts through real-world examples that will provide them with the design and implementation skills needed for a competitive job market. By utilizing a programming environment that enables students to reach and modify low-level microcontroller properties, the material allows for more control of the developed system. Students will be guided in implementing machine learning methods to be deployed and tested on microcontrollers throughout the book, with the theory behind the implemented methods also emphasized. Sample codes and course slides are available for readers and instructors, and a solutions manual is available to instructors. The book will also be an ideal reference for practicing engineers and electronics hobbyists.. | | 出版日期 | Textbook 2025 | | 关键词 | ARM Cortex-M; Machine learning; Neural networks; Deep learning; Microcontrollers; Embedded systems; Embedd | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-031-70912-8 | | isbn_softcover | 978-3-031-70914-2 | | isbn_ebook | 978-3-031-70912-8 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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发表于 2025-3-21 19:56:48
