Hands on tinyML
harness the power of machine learning on the edge devices
Bibliographic details
Summary
Hands-on TinyML explains how to run machine-learning and AI models on small edge devices with limited computing resources. It covers TensorFlow, TensorFlow Lite, deep learning, model optimization, and practical applications such as face recognition, object detection, and keyword spotting.