Home Evergreen Goodwill TinyML: Machine Learning with TensorFlow Lite on Arduino and Ultra-Low-Power Microcontrollers by Warden, Pete,Situnayake, Daniel (ISBN: 9781492052043)

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

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TinyML: Machine Learning with TensorFlow Lite on Arduino and Ultra-Low-Power Microcontrollers Paperback - 2020

Name: Tinyml: Machine Learning with Tensorflow Lite on Arduino and Ultra-Low-Power Microcontrollers
Price: 20.49 USD
Availability: InStock
Author: Warden, Pete; Situnayake, Daniel
ISBN: 9781492052043

by Warden, Pete,Situnayake, Daniel

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O'Reilly Media, 1/21/2020 12:00:01 A. paperback. Good. 1.4961 in x 9.1732 in x 7.0472 in.

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From the publisher

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. As of early 2022, the supplemental code files are available at https: //oreil.ly/XuIQ4.

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.

Build a speech recognizer, a camera that detects people, and a magic wand that responds to gestures
Work with Arduino and ultra-low-power microcontrollers
Learn the essentials of ML and how to train your own models
Train models to understand audio, image, and accelerometer data
Explore TensorFlow Lite for Microcontrollers, Google's toolkit for TinyML
Debug applications and provide safeguards for privacy and security
Optimize latency, energy usage, and model and binary size

Details

Title TinyML: Machine Learning with TensorFlow Lite on Arduino and Ultra-Low-Power Microcontrollers
Author Warden, Pete,Situnayake, Daniel
Binding Paperback
Condition Used - Good
Pages 501
Volumes 1
Language ENG
Publisher O'Reilly Media
Publication date 1/21/2020 12:00:01 A
Bookseller's Inventory # mon0000637400
ISBN 9781492052043 / 1492052043
Weight 1.75 lbs (0.79 kg)
Dimensions 9.17 x 7.01 x 1.01 in (23.29 x 17.81 x 2.57 cm)
Size 1.4961 in x 9.1732 in x 7.0472 i
Category Computers - General Information
Quantity available 1

About the author

Pete Warden is technical lead for mobile and embedded TensorFlow. He was CTO and founder of Jetpac, which was acquired by Google in 2014, and previously worked at Apple. He was a founding member of the TensorFlow team, and blogs about practical deep learning at https: //petewarden.com.

Daniel Situnayake leads developer advocacy for TensorFlow Lite at Google. He co-founded Tiny Farms, the first US company using automation to produce insect protein at industrial scale. He began his career lecturing in automatic identification and data capture at Birmingham City University.

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