TinyML: Machine Learning with TensorFlow Lite on Arduino and Ultra-Low-Power Microcontrollers

TinyML: The Practical Guide to Building Embedded Machine Learning Systems is a comprehensive guide for software and hardware developers who want to build embedded systems using machine learning.

With this book, you'll learn how to train models small enough to fit into any environment, including those with limited resources.

You'll discover how to create speech recognizers, camera-based people detectors, and gesture-sensing wands using Arduino and ultra-low-power microcontrollers.

The authors, Pete Warden and Daniel Situnayake, are experts in the field of TinyML and provide step-by-step instructions for creating a series of TinyML projects.

You'll also learn how to optimize latency, energy usage, and model and binary size.

This book is perfect for anyone looking to build innovative and powerful machine learning systems without sacrificing performance or efficiency.