|TinyML: Machine Learning with TensorFlow Lite (O'Reilly)|
|Wednesday, 05 February 2020|
This practical book, whose subtitle continues "on Arduino and Ultra-Low-Power Microcontrollers" looks at TinyML, where deep learning and embedded systems are combined with tiny devices. Authors Pete Warden and Daniel Situnayake explain how you can train models small enough to fit into any environment. Aimed at 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.
Authors: Pete Warden and Daniel Situnayake
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