Berkan Höke
Embedded Machine Learning With Microcontrollers: Applications on Stm32 Development Boards

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.... Lire la suite