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Tiny ML: Machine Learning with Tensorflow Lite on Arduino and Ultra-Low-Power Mi

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ISBN-13
9781492052043
Book Title
Tiny ML
ISBN
9781492052043
Publication Year
2020
Type
Textbook
Format
Paperback
Language
English
Publication Name
Tinyml
Author
Pete Warden
Publisher
O'reilly Media, INC International Concepts, USA
Subject
Computer Science
Number of Pages
504 Pages

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Product Information

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. 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

Product Identifiers

Publisher
O'reilly Media, INC International Concepts, USA
ISBN-13
9781492052043
eBay Product ID (ePID)
3046600797

Product Key Features

Publication Name
Tinyml
Format
Paperback
Language
English
Subject
Computer Science
Publication Year
2020
Type
Textbook
Author
Pete Warden
Number of Pages
504 Pages

Additional Product Features

Title_Author
Pete Warden
Country/Region of Manufacture
United States

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