Tinyml: machine learning with tensorflow lite on arduino and ultra-low-power...
Описание
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 ***********************
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
Також купити книгу TinyML: Machine Learning with TensorFlow Lite on Arduino
and Ultra-Low-Power Microcontrollers, Pete Warden, Daniel Situnayake Ви можете
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