Embedded Machine Learning with Microcontrollers von Cem Ünsalan | Applications on STM32 Development Boards | ISBN 9783031709111

Embedded Machine Learning with Microcontrollers

Applications on STM32 Development Boards

von Cem Ünsalan, Berkan Höke und Eren Atmaca
Mitwirkende
Autor / AutorinCem Ünsalan
Autor / AutorinBerkan Höke
Autor / AutorinEren Atmaca
Buchcover Embedded Machine Learning with Microcontrollers | Cem Ünsalan | EAN 9783031709111 | ISBN 3-031-70911-X | ISBN 978-3-031-70911-1

Embedded Machine Learning with Microcontrollers

Applications on STM32 Development Boards

von Cem Ünsalan, Berkan Höke und Eren Atmaca
Mitwirkende
Autor / AutorinCem Ünsalan
Autor / AutorinBerkan Höke
Autor / AutorinEren Atmaca

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.