Gadget Book: TinyML for the Arduino – Electronics Weekly


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Gadget Book: TinyML for the Arduino

Its full title is TinyML: Machine Learning with TensorFlow Lite on Arduino and Ultra-Low-Power Microcontrollers, and the TinyML they reference is TensorFlow Lite, Google’s mobile friendly implementation of TensorFlow.

It’s a nice, practical focus because rather than address the bottomless, theoretical ocean of AI, it focuses on working with ultra-low-power microcontrollers such the Arduino.

As well as learning the essentials of machine learning, and how to train your own models, the book covers a number of projects. For example, how to build a speech recogniser, a camera that detects people, and a magic wand that responds to gestures.

The publisher’s description is as follows:

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.

You can take a look at the code you can download from GitHub here.

TinyML details

Title: TinyML: Machine Learning with TensorFlow Lite on Arduino and Ultra-Low-Power Microcontrollers

Author: Pete Warden, Daniel Situnayake

Publisher: O’Reilly Media

Price: £27.50

ISBN-13: 978-1492052043

Date: January 2020

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