TinyML

"Deep learning networks are getting smaller. Much smaller. The Google Assistant team can detect words with a model just 14 kilotes in sizesmall enough to run on a microcontroller. With this practical book youll enter the field of TinyML, where deep learning and embedded systems combine to make astounding things possible with tiny devices."margin: -4px 0px 14px; padding: 0px; font-family: Arial, sans-serif; font-size: 14px;"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--step. No machine learning or microcontroller experience is necessary.