Machine Learning with TensorFlow Lite on Arduino and Ultra-Low-Power Microcontrollers
Learn about the emerging field of TinyML, where deep learning and embedded systems combine to create astounding possibilities with tiny devices. In this practical guide, Pete Warden and Daniel Situnayake explain how you can train models small enough to fit into any environment. Perfect for developers looking to build embedded systems using machine learning, this guide walks you through creating a series of TinyML projects step-by-step. Build a speech recognizer, a camera that detects people, and a magic wand that responds to gestures - no prior experience needed!