Warden, Pete

Tinyml: Machine Learning with Tensorflow Lite on Arduino and Ultra-Low-Power Microcontrollers

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ISBN 13:
9781492052043
author:
Warden, Pete
format:
Paperback / softback
publisher:
O'Reilly Media, Inc, USA
language:
English
Publication Year:
2020
Pages:
504
Dimensions:
23.3 x 17.8 x 2.6 centimetres (0
Genre:
Computers, Graphics & Design, Computers,
Condition:
New
Availability:
Item usually sent within 10 working days
£31.27

Description

This practical guide shows you how to create Tiny Machine Learning (TinyML) projects using TensorFlow Lite for Microcontrollers. You'll learn how to train models that are small enough to fit into any environment, including small embedded devices that can run for a year or more on a single coin cell battery.

No machine learning or microcontroller experience is necessary. Learn practical machine learning applications on embedded devices, including simple uses such as speech recognition and gesture detection. You'll also understand how to work with Arduino and ultralow-power microcontrollers, and use techniques for optimizing latency, energy usage, and model size.

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