tensorflow lite 所需要的依赖，download_dependencies.sh文件下载最新文件。下载时间2020/11/2。解压文件夹downloads 放在tensorflow-master\tensorflow\lite\tools\make

TinyML Machine Learning with TensorFlow Lite on Arduino and Ultra-Low-Power Microcontrollers by Pete Warden, Daniel Situnayake 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. Pete Warden and Daniel Situnayake explain how you can train models small enough to fit into any environment. Ideal for software and hardware developers who want to build embedded systems using machine learning, this guide walks you through creating a series of TinyML projects, step-by-step. No machine learning or microcontroller experience is necessary. * 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

使用TensorFlow Lite在Android手机上实现图像分类的demo

使用TensorFlow Lite在Android手机上实现图像分类非量化的demo