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Tinyml Machine Learning Tensorflow by Pete Warden (27 results)
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Paperback. Condition: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less 1.85.
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Tinyml: Machine Learning with Tensorflow Lite on Arduino and Ultra-Low-Power Microcontrollers (Paperback or Softback)
Published by O'Reilly Media 1/7/2020, 2020
ISBN 10: 1492052043 ISBN 13: 9781492052043
Language: English
Paperback or Softback. Condition: New. Tinyml: Machine Learning with Tensorflow Lite on Arduino and Ultra-Low-Power Microcontrollers 1.75. Book.
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Add to basketCondition: New. Brand New! Not Overstocks or Low Quality Book Club Editions! Direct From the Publisher! We're not a giant, faceless warehouse organization! We're a small town bookstore that loves books and loves it's customers! Buy from Lakeside Books!
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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
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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
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Tinyml: Machine Learning with Tensorflow Lite on Arduino and Ultra-Low-Power Microcontrollers
Published by O'Reilly Media, Inc, USA, 2020
ISBN 10: 1492052043 ISBN 13: 9781492052043
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
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US$ 47.82
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Add to basketPaperback / softback. Condition: New. New copy - Usually dispatched within 4 working days. 783.
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Tinyml: Machine Learning With Tensorflow Lite on Arduino and Ultra-low-power Microcontrollers
Published by Oreilly & Associates Inc, 2019
ISBN 10: 1492052043 ISBN 13: 9781492052043
Language: English
US$ 62.98
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Add to basketPaperback. Condition: Brand New. 484 pages. 9.25x7.00x1.00 inches. In Stock.
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Tinyml : Machine Learning with Tensorflow Lite on Arduino and Ultra-Low-Power Microcontrollers
Published by O'reilly Media Jan 2020, 2020
ISBN 10: 1492052043 ISBN 13: 9781492052043
Language: English
US$ 61.04
Convert currencyUS$ 37.94 shipping from Germany to U.S.A.Quantity: 1 available
Add to basketTaschenbuch. Condition: Neu. Neuware - Neural networks are getting smaller. Much smaller. The OK Google team, for example, has run machine learning models that are just 14 kilobytes in size--small enough to work on the digital signal processor in an Android phone. With this practical book, you'll learn about TensorFlow Lite for Microcontrollers, a miniscule machine learning library that allows you to run machine learning algorithms on tiny hardware.Authors Pete Warden and Daniel Situnayake explain how you can 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. Ideal for software and hardware developers who want to build embedded devices using machine learning, this guide shows you how to create a TinyML project step-by-step. 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 detectionTrain models such as speech, accelerometer, and image recognition, you can deploy on Arduino and other embedded platformsUnderstand how to work with Arduino and ultralow-power microcontrollersUse techniques for optimizing latency, energy usage, and model and binary size.
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US$ 54.53
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Add to basketCondition: New. Über den AutorrnrnPete 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 t.
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Tinyml: Machine Learning With Tensorflow Lite on Arduino and Ultra-low-power Microcontrollers
Published by Oreilly & Associates Inc, 2019
ISBN 10: 1492052043 ISBN 13: 9781492052043
Language: English
US$ 54.05
Convert currencyUS$ 13.58 shipping from United Kingdom to U.S.A.Quantity: 2 available
Add to basketPaperback. Condition: Brand New. 484 pages. 9.25x7.00x1.00 inches. In Stock. This item is printed on demand.
