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Embedded Machine Learning with Microcontrollers

Applications on STM32 Development Boards
BuchGebunden
390 Seiten
Englisch
Springererscheint am06.12.20242024
This textbook introduces basic embedded machine learning methods by exploring practical applications on STM32 development boards. 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.mehr
Verfügbare Formate
BuchGebunden
EUR69,54
BuchGebunden
EUR69,54

Produkt

KlappentextThis textbook introduces basic embedded machine learning methods by exploring practical applications on STM32 development boards. 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.
Details
ISBN/GTIN978-3-031-70911-1
ProduktartBuch
EinbandartGebunden
Verlag
Erscheinungsjahr2024
Erscheinungsdatum06.12.2024
Auflage2024
Seiten390 Seiten
SpracheEnglisch
IllustrationenApprox. 400 p.
Artikel-Nr.56506436

Inhalt/Kritik

Inhaltsverzeichnis
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.mehr

Schlagworte

Autor

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 Bogaziçi 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.