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Pete Warden & Daniel SitunayakeTinyMLMachine Learning with TensorFlow Lite on Arduino and Ultra-Low-Power MicrocontrollersPete Warden and Daniel SitunayakeTinyMLMachine Learning with TensorFlow Lite onArduino and Ultra-Low-Power MicrocontrollersBostonFarnhamSebastopolT okyoBeijingBostonFarnhamSebastopolTokyoB eijing978-1-492-05204-3[LSI]TinyMLby Pete Warden and Daniel SitunayakeCopyright 2020 Pete Warden and Daniel Situnayake. All rights in the United States of by O Reilly Media, Inc., 1005 Gravenstein Highway North, Sebastopol, CA Reilly books may be purchased for educational, business, or sales promotional use. Online editions arealso available for most titles ( ). For more information, contact our corporate/institutionalsales department: 800-998-9938 or Editor: Mike LoukidesDevelopment Editor: Nicole Tach Production Editor: Beth KellyCopyeditor: Octal Publishing, : Rachel HeadIndexer: WordCo, Designer: David FutatoIllustrator: Rebecca DemarestDecember 2019: First EditionRevision History for the First Edition2019-12-13: First Release2020-08-07: Second ReleaseSee for release O Reilly logo is a registered trademark of O Reilly Media, Inc.

If any code samples or other technology this work contains or describes is subject to open source ... Reducing the Size of Your Executable 428 Measuring Code Size 429 ... Preprocessing Differences 437 Debugging Preprocessing 439 ...

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