Embedded Machine Learning with Microcontrollers Applications on STM32 Development Boards /

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 microco...

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書誌詳細
主要な著者:	Ünsalan, Cem (著者), Höke, Berkan (著者), Atmaca, Eren (著者)
団体著者:	SpringerLink (Online service)
フォーマット:	電子媒体 eBook
言語:	英語
出版事項:	Cham : Springer International Publishing : Imprint: Springer, 2025.
版:	1st ed. 2025.
主題:	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.
オンライン･アクセス:	https://doi.org/10.1007/978-3-031-70912-8
タグ:	タグ追加タグなし, このレコードへの初めてのタグを付けませんか!

目次:

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.

Embedded Machine Learning with Microcontrollers Applications on STM32 Development Boards /

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