TinyML... Machine Learning with TensorFlow Lite

Brief

Book

Deep learning networks are getting smaller. Much smaller. The Google Assistant team can detect words with a model just 14 kilobytes in size—small enough to run on a microcontroller. With this practical book you’ll enter the field of TinyML, where deep learning and embedded systems combine to make astounding things possible with tiny devices. Build a speech recognizer, a camera that detects people, and a magic wand that responds to gestures  Work with Arduino and ultra-low-power microcontrollers  Learn the essentials of ML and how to train your own models Train models to understand audio, image, and accelerometer data  Explore TensorFlow Lite for Microcontrollers, Google’s toolkit for TinyML  Debug applications and provide safeguards for privacy and security  Optimize latency, energy usage, and model and binary size