Publisher's Synopsis
Pete Warden, Daniel Situnayake's Learning TinyML For Beginners Full Guide - Deep learning networks are getting smaller. Much smaller. The Google Assistant team can only recognize words with a pattern of 14 kilobytes that are small enough to run on a microcontroller. With this hands-on book, you enter the realm of TinyML, where deep learning and embedded systems combine amazing things with small tools.Pete Warden and Daniel Situnayake discuss how to create small models that fit any environment. Ideal for software and hardware developers who want to create embedded systems using machine learning, this step-by-step guide shows you how to build a series of TinyML projects. No machine learning or microcontroller experience is required.- Build a voice recognition system, a camera that detects people, and a magic wand that responds to gestures- Work with Arduino and ultra low power microcontrollers- Learn the basics of ML and training your own models- Develop models to understand sound, image and acceleration data- Discover the TensorFlow Lite for Microcontrollers, Google TinyML toolkit- Application debugging and guarantees of confidentiality and security- Optimizes latency, power consumption, pattern, and binary size
