Embedded Machine Learning with Microcontrollers : Applications on Arduino Boards / by Cem Ünsalan, Berkan Höke, Eren Atmaca.

Format:

Book

Author/Creator:

Ünsalan, Cem, author.

Höke, Berkan, author.

Atmaca, Eren, author.

Language:

English

Subjects (All):

Embedded computer systems.

Electronic circuits.

Electronics.

Machine learning.

Microprocessors.

Computer architecture.

Embedded Systems.

Electronic Circuits and Systems.

Electronics and Microelectronics, Instrumentation.

Machine Learning.

Processor Architectures.

Local Subjects:

Embedded Systems.

Electronic Circuits and Systems.

Electronics and Microelectronics, Instrumentation.

Machine Learning.

Processor Architectures.

Physical Description:

1 online resource (372 pages)

Edition:

1st ed. 2025.

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2025.

Summary:

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. Teaches embedded machine learning system design skills needed for today’s job market; Thoroughly explains each concept and provides illustrated examples and projects; Includes sample codes, 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

Training the Multi-layer Neural Network on the Microcontroller

Convolution Neural Networks

Recurrence in Neural Networks.

Notes:

Includes bibliographical references and index.

ISBN:

3-031-69421-X