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Language: English
Published by Elektor International Media BV, 2021
- Softcover
- Used
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- Title
- Get Started with the MAX78000FTHR Development Board
- Author
- Dogan Ibrahim
- Publisher
- Elektor International Media BV
- Publication year
- 2021
- Condition
- As New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 3895764477
- ISBN 13
- 9783895764479
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
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
"Synopsis" may belong to another edition of this title.
From the Back Cover
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
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
"About the title" may belong to another edition of this title.