Dogan Ibrahim 
Get Started with the MAX78000FTHR Development Board [PDF ebook] 
Build your own AI microcontroller applications from scratch

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The MAX78000FTHR from Maxim Integrated is a small development board based on the MAX78000 MCU. The main usage of this board is in artificial intelligence applications (AI) which generally require large amounts of processing power and memory. It marries an Arm Cortex-M4 processor with a floating-point unit (FPU), convolutional neural network (CNN) accelerator, and RISC-V core into a single device. It is designed for ultra-low power consumption, making it ideal for many portable AI-based applications.

This book is project-based and aims to teach the basic features of the MAX78000FTHR. It demonstrates how it can be used in various classical and AI-based projects. Each project is described in detail and complete program listings are provided. Readers should be able to use the projects as they are, or modify them to suit their applications. This book covers the following features of the MAX78000FTHR microcontroller development board:

> Onboard LEDs and buttons
> External LEDs and buttons
> Using analog-to-digital converters > I2C projects
> SPI projects
> UART projects
> External interrupts and timer interrupts > Using the onboard microphone
> Using the onboard camera
> Convolutional Neural Network (CNN) > Artificial Intelligence projects
€27.99
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About the author

Prof Dr Dogan Ibrahim has a BSc degree in electronic engineering, an MSc degree in automatic control engineering, and a Ph D degree in digital signal processing. Dogan has worked in many indus-trial organizations before he returned to academic life. Prof Ibrahim is the author of over 60 technical books and over 200 technical articles on microcontrollers, microprocessors, and related fields. He is a Chartered electrical engineer and a Fellow of the Institution of Engineering Technology.
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Language English ● Format PDF ● Pages 268 ● ISBN 9783895764486 ● File size 47.7 MB ● Publisher Elektor International Media ● City Susteren ● Country NL ● Published 2021 ● Downloadable 24 months ● Currency EUR ● ID 7901269 ● Copy protection Social DRM

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