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Embedded Machine Learning with Microcontrollers Applications on Arduino Boards /

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...

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Gorde:
Xehetasun bibliografikoak
Egile Nagusiak: Ünsalan, Cem (Egilea), Höke, Berkan (Egilea), Atmaca, Eren (Egilea)
Erakunde egilea: SpringerLink (Online service)
Formatua: Baliabide elektronikoa eBook
Hizkuntza:ingelesa
Argitaratua: Cham : Springer International Publishing : Imprint: Springer, 2025.
Edizioa:1st ed. 2025.
Gaiak:
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.
Sarrera elektronikoa:https://doi.org/10.1007/978-3-031-69421-9
Etiketak: Etiketa erantsi
Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!
Aurkibidea:
  • 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.

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