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

Deep learning networks are getting smaller. Much smaller. The Google Assistant team can detect words with a...
€70,81 EUR
€70,81 EUR
SKU: 9781492052043
Product Type: Books
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Author: Pete Warden
Format: Paperback
Language: English
Subtotal: €70,81
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Tinyml: Machine Learning with Tensorflow Lite on Arduino and Ultra-Low-Power Microcontrollers by Warden, Pete

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

€70,81

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

€70,81
Author: Pete Warden
Format: Paperback
Language: English

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

    Author: Pete Warden, Daniel Situnayake
    Publisher: O'Reilly Media
    Published: 01/21/2020
    Pages: 501
    Binding Type: Paperback
    Weight: 1.75lbs
    Size: 9.17h x 7.01w x 1.01d
    ISBN: 9781492052043

    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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