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

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

Sách TinyML Machine Learning with TensorFlow Lite on Arduino and Ultra-Low-Power Microcontrollers (sách keo gáy, bìa mềm)
 
Thể loại:Computers - Cybernetics
 
Năm:2019
 
In lần thứ:1
 
Ngôn ngữ:english
 
Trang: 504
 
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