Embedded Machine Learning with Microcontrollers : Applications on STM32 Development Boards / Cem Ünsalan, Berkan Höke, and Eren Atmaca.

Format:

Book

Author/Creator:

Ünsalan, Cem, author.

Höke, Berkan, author.

Atmaca, Eren, author.

Language:

English

Subjects (All):

Machine learning.

Physical Description:

1 online resource (408 pages)

Edition:

First edition.

Place of Publication:

Cham, Switzerland : Springer, [2025]

Summary:

This textbook introduces basic and advanced embedded machine learning methods by exploring practical applications on STM32 development 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 low-level microcontroller properties, the material allows for more control 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. 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 solutions manual.

Contents:

Introduction

Hardware to Be Used in the Book

Software to Be Used in the Book

Data Acquisition From Sensors

Introduction to Machine Learning

Classification

Regression

Clustering

The Tensorflow Platform and Keras API

Fundamentals of Neural Networks

Embedding the Neural Network Model to the Microcontroller

Multi-layer Neural Networks

Convolutional Neural Networks

Recurrent Neural Networks

ARM CMSIS NN Software Library

Appendix. STM32 Board Pin Usage Tables.

Notes:

Description based on print version record.

Includes bibliographical references and index.

ISBN:

3-031-70912-8