Embedded Machine Learning with Microcontrollers: Applications on Stm32 Development Boards
暫譯: 嵌入式機器學習與微控制器:在 STM32 開發板上的應用

Ünsalan, Cem, Höke, Berkan, Atmaca, Eren

  • 出版商: Springer
  • 出版日期: 2024-10-25
  • 售價: $2,960
  • 貴賓價: 9.5$2,812
  • 語言: 英文
  • 頁數: 403
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 303170911X
  • ISBN-13: 9783031709111
  • 相關分類: 嵌入式系統單晶片STM32Machine Learning
  • 海外代購書籍(需單獨結帳)

相關主題

商品描述

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.

商品描述(中文翻譯)

本教科書透過探索在STM32開發板上的實際應用,介紹基本的嵌入式機器學習方法。內容涵蓋在微控制器上實現的傳統機器學習和基於神經網絡的機器學習方法,旨在用於微控制器、微處理器系統和嵌入式系統的課程中。採用「做中學」的方法,本書將使學生能夠通過真實世界的範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現技能。通過利用一個能讓學生接觸和修改低層次微控制器屬性的編程環境,教材使得開發的系統能夠獲得更高的控制權。全書將指導學生實現機器學習方法,並在微控制器上進行部署和測試,同時強調所實現方法背後的理論。樣本代碼和課程幻燈片可供讀者和講師使用,並且有解答手冊提供給講師。本書也將成為實踐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 自2013年以來擔任土耳其耶迪泰佩大學電氣與電子工程系的正教授。他是該大學工程學院的院長。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正教授,並在那裡擔任系主任四年。Ünsalan博士於1995年、1998年和2003年分別在土耳其哈吉特佩大學獲得學士學位、在博阿茲奇大學獲得碩士學位,以及在美國俄亥俄州立大學獲得博士學位。他的研究專注於嵌入式系統、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文章,並撰寫了幾本書籍,包括《使用 ARM Cortex-M 微控制器的嵌入式系統設計:C、C++ 和 MicroPython 的應用》(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年在土耳其比爾肯特大學獲得學士學位,並於2019年在博阿茲奇大學獲得碩士學位。他的研究專注於機器學習、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信與電子工程碩士學位。他於2022年在土耳其馬爾馬拉大學獲得學士學位。他的研究專注於嵌入式系統、信號處理和機器學習。