TinyML Cookbook

TinyML Cookbook

person icon Gian Marco Iodice

ebook icon Packt Publishing

language icon Language - English

updated on icon Updated on Jan, 2023

architecture icon Machine Learning,TensorFlow,Python


This eBook includes

Formats : PDF (Read Only)

Pages : 344

ISBN : 9781801812634

Language : English

About the Book

Book description

Work through over 50 recipes to develop smart applications on Arduino Nano 33 BLE Sense and Raspberry Pi Pico using the power of machine learning

Key Features

  • Train and deploy ML models on Arduino Nano 33 BLE Sense and Raspberry Pi Pico
  • Work with different ML frameworks such as TensorFlow Lite for Microcontrollers and Edge Impulse
  • Explore cutting-edge technologies such as microTVM and Arm Ethos-U55 microNPU

Book Description

This book explores TinyML, a fast-growing field at the unique intersection of machine learning and embedded systems to make AI ubiquitous with extremely low-powered devices such as microcontrollers.

The TinyML Cookbook starts with a practical introduction to this multidisciplinary field to get you up to speed with some of the fundamentals for deploying intelligent applications on Arduino Nano 33 BLE Sense and Raspberry Pi Pico. As you progress, you’ll tackle various problems that you may encounter while prototyping microcontrollers, such as controlling the LED state with GPIO and a push-button, supplying power to microcontrollers with batteries, and more. Next, you’ll cover recipes relating to temperature, humidity, and the three “V” sensors (Voice, Vision, and Vibration) to gain the necessary skills to implement end-to-end smart applications in different scenarios. Later, you’ll learn best practices for building tiny models for memory-constrained microcontrollers. Finally, you’ll explore two of the most recent technologies, microTVM and microNPU that will help you step up your TinyML game.

By the end of this book, you’ll be well-versed with best practices and machine learning frameworks to develop ML apps easily on microcontrollers and have a clear understanding of the key aspects to consider during the development phase.

What you will learn

  • Understand the relevant microcontroller programming fundamentals
  • Work with real-world sensors such as the microphone, camera, and accelerometer
  • Run on-device machine learning with TensorFlow Lite for Microcontrollers
  • Implement an app that responds to human voice with Edge Impulse
  • Leverage transfer learning to classify indoor rooms with Arduino Nano 33 BLE Sense
  • Create a gesture-recognition app with Raspberry Pi Pico
  • Design a CIFAR-10 model for memory-constrained microcontrollers
  • Run an image classifier on a virtual Arm Ethos-U55 microNPU with microTVM

Who this book is for

This book is for machine learning developers/engineers interested in developing machine learning applications on microcontrollers through practical examples quickly. Basic familiarity with C/C++, the Python programming language, and the command-line interface (CLI) is required. However, no prior knowledge of microcontrollers is necessary.

TinyML Cookbook

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Author Details

Packt Publishing

Packt Publishing

Founded in 2004 in Birmingham, UK, Packt's mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals.

Working towards that vision, we have published over 6,500 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done - whether that's specific learning on an emerging technology or optimizing key skills in more established tools.

As part of our mission, we have also awarded over $1,000,000 through our Open Source Project Royalty scheme, helping numerous projects become household names along the way.

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