TinyML /Pete Warden machine learning with TensorFlow Lite on Arduino and ultra-low power microcontrollers

By:

Warden, Pete

Contributor(s):

Daniel Situnayake

Language: English Publication details: c2020 Sebastopol, CA : O'Reilly MediaEdition: 1st edDescription: xvi, 484 p. : ill. 23 cmISBN:

9789352139606

Subject(s):

Apprentissage automatique; Machine learning; Microcontrollers; Signal processing Digital techniques

DDC classification:

006.31 WAR

Summary: 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.

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Holdings
Item type	Current library	Call number	Copy number	Status	Barcode
Reference	Anna Centenary Library 3RD FLOOR, A WING	006.31 WAR (Browse shelf(Opens below))		Not for loan	692590
Reference	Anna Centenary Library 3RD FLOOR, A WING	006.31 WAR;1 (Browse shelf(Opens below))	1	Not for loan	692591

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Includes index

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.

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TinyML /Pete Warden machine learning with TensorFlow Lite on Arduino and ultra-low power microcontrollers

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