Embedded Machine Learning with Microcontrollers: Applications on Arduino Boards (微控制器嵌入式機器學習：Arduino 板的應用)

Ünsalan, Cem, Höke, Berkan, Atmaca, Eren

Embedded Machine Learning with Microcontrollers: Applications on Arduino Boards
  • 出版商: Springer
  • 出版日期: 2024-10-22
  • 售價: $2,950
  • 貴賓價: 9.5 折 $2,803
  • 語言: 英文
  • 頁數: 371
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 3031694201
  • ISBN-13: 9783031694202
  • 相關分類: Arduino、嵌入式系統、單晶片、Machine Learning

    • 海外代購書籍(需單獨結帳)

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商品描述

This textbook introduces basic and advanced embedded machine learning methods by exploring practical applications on Arduino boards. By covering traditional and neural network-based machine learning methods implemented on microcontrollers, the text is designed for use in courses on microcontrollers and embedded machine learning systems. Following the learning-by-doing approach, the book will enable students to grasp embedded machine learning concepts through real-world examples, providing 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 microcontroller properties easily, the material allows for fast implementation of the developed system. Students are 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 real-world projects are available for readers and instructors. The book will also be an ideal reference for practicing engineers and electronics hobbyists.

商品描述(中文翻譯)

本教科書介紹了基本和進階的嵌入式機器學習方法，通過探索在 Arduino 板上的實際應用來進行說明。書中涵蓋了在微控制器上實現的傳統和基於神經網絡的機器學習方法，旨在用於微控制器和嵌入式機器學習系統的課程。採用實作學習的方法，本書將使學生能夠通過真實案例掌握嵌入式機器學習概念，並提供他們在競爭激烈的就業市場中所需的設計和實施技能。通過利用一個能讓學生輕鬆訪問和修改微控制器屬性的程式環境，教材允許快速實現所開發的系統。全書指導學生實施機器學習方法，並在微控制器上進行部署和測試，同時也強調所實施方法背後的理論。書中提供了範例程式碼和真實世界的專案，供讀者和教師使用。本書也將成為實務工程師和電子愛好者的理想參考資料。

作者簡介

Cem Ünsalan is a full professor at the Department of Electrical and Electronics Engineering at Yeditepe University, Turkey, since 2013. He is the Dean of the Faculty of Engineering at the same university. Dr. Ünsalan also worked as a full professor at the Department of Electrical and Electronics Engineering at Marmara University, Turkey, between 2017 and 2023. He served as the department head for four years there. Dr. Ünsalan received his BSc degree from Hacettepe University, Turkey, his MSc degree from Bogazici University, Turkey, and his Ph.D. from The Ohio State University, USA, in 1995, 1998, and 2003, respectively. His research focuses on embedded systems, computer vision, and remote sensing. He has published extensively on these topics in respected journals and has written several books, including Embedded System Design with ARM Cortex-M Microcontrollers: Applications with C, C++ and MicroPython (Springer, 2022).

Berkan Höke is currently working as a senior machine vision engineer at Agsenze Ltd, United Kingdom. He has a diverse professional background, including roles as a computer vision engineer at Migros, Turkey (2017-2020), machine learning engineer at Huawei, Turkey (2020-2022), and computer vision engineer at Techsign, Turkey (2022-2023). Mr. Höke received his BSc degree from Bilkent University, Turkey, and his MSc degree from Boğaziçi University, Turkey, in 2014 and 2019, respectively. His research focuses on machine learning, computer vision, and embedded systems.

Eren Atmaca is currently pursuing his master's degree in communications and electronics engineering at Technical University of Munich, Germany. He received his bachelor's degree from Marmara University, Turkey in 2022. His research focuses on embedded systems, signal processing, and machine learning.

作者簡介(中文翻譯)

Cem Ünsalan 是土耳其耶迪泰佩大學電氣與電子工程系的全職教授，自2013年以來擔任該校工程學院院長。Ünsalan 博士在2017年至2023年間也曾擔任土耳其馬爾馬拉大學電氣與電子工程系的全職教授，並在那裡擔任系主任四年。Ünsalan 博士於1995年、1998年和2003年分別獲得土耳其哈哲特佩大學的學士學位、土耳其博阿茲奇大學的碩士學位，以及美國俄亥俄州立大學的博士學位。他的研究重點包括嵌入式系統、計算機視覺和遙感。他在這些主題上在知名期刊上發表了大量論文，並撰寫了幾本書籍，包括《Embedded System Design with ARM Cortex-M Microcontrollers: Applications with C, C++ and MicroPython》（Springer, 2022）。

Berkan Höke 目前在英國 Agsenze Ltd 擔任高級機器視覺工程師。他擁有多元的專業背景，包括在土耳其 Migros 擔任計算機視覺工程師（2017-2020）、在土耳其華為擔任機器學習工程師（2020-2022），以及在土耳其 Techsign 擔任計算機視覺工程師（2022-2023）。Höke 先生於2014年獲得土耳其比爾肯特大學的學士學位，並於2019年獲得土耳其博阿茲奇大學的碩士學位。他的研究重點包括機器學習、計算機視覺和嵌入式系統。

Eren Atmaca 目前在德國慕尼黑工業大學攻讀通訊與電子工程的碩士學位。他於2022年獲得土耳其馬爾馬拉大學的學士學位。他的研究重點包括嵌入式系統、信號處理和機器學習。

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