Publisher's Synopsis
Pete Warden, Daniel Situnayake's Basic Course Learning About TinyML: Step By Step Guide Learning Machine With TensorFlow Lite - Deep learning networks are getting smaller. Much smaller. The Google Assistant team is only able to recognize 14-kilobyte samples that are small enough to run on a microcontroller. With this hands-on book, you can 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 build 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.In This Book You Will Learn: - 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 TensorFlow Lite for Microcontrollers, Google's toolbar for TinyML- Debug applications and guarantee confidentiality and security- Optimizes latency, power consumption, pattern, and binary size
