This document introduces TensorFlow Lite for Microcontrollers (TF Micro) which brings machine learning to microcontroller applications. It discusses porting TF Micro to platforms like Arduino, converting TensorFlow models to a C array format compatible with MCUs, and using the TF Micro C++ API and interpreter to perform inference on embedded devices with limited memory and compute. Examples are provided of applying TF Micro to applications like speech recognition on microcontrollers.