TinyML Cookbook
Running machine learning on microcontrollers enables everyday objects to make smarter decisions through minimum interactions with the end user. This book features useful and exciting recipes that help you combine the capabilities of embedded ultra-low-power systems and machine learning for AI-powered IoT devices.
Offered by
Difficulty Level
Intermediate
Completion Time
11h28m
Language
English
About Book
Who Is This Book 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
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 11h28m total length
Getting Started with TinyML
Prototyping with Microcontrollers
Building a Weather Station with TensorFlow Lite for Microcontrollers
Voice Controlling LEDs with Edge Impulse
Indoor Scene Classification with TensorFlow Lite for Microcontrollers and the Arduino Nano
Building a Gesture-Based Interface for YouTube Playback
Running a Tiny CIFAR-10 Model on a Virtual Platform with the Zephyr OS
Toward the Next TinyML Generation with microNPU
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