Epub Download TinyML: Machine Learning with TensorFlow Lite on Arduino and Ultra-Low-Power Microcontrollers Full Online
EBOOK [P.D.F] TinyML: Machine Learning with TensorFlow Lite on Arduino and Ultra-Low-Power Microcontrollers Full Pages Details Details Product: 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 gesturesWork with Arduino and ultra-low-power microcontrollersLearn the essentials of ML and how to train your own modelsTrain models to understand audio, image, and accelerometer dataExplore TensorFlow Lite for Microcontrollers, Google's toolkit for TinyMLDebug applications and provide safeguards for privacy and securityOptimize latency, energy usage, and model and binary size Author: Language: English Format: PDF / EPUB / MOBI E-Books are now available on this website Works on PC, iPad, Android, iOS, Tablet, MAC) THE BEST & MORE SELLER Discover a new world at your fingertips with our wide selection of books online. Our online bookstore features the latest books, eBooks and audio books from best-selling authors, so you can click through our aisles to browse titles & genres that make jaws fall in love with adults, teens and children. Find the perfect book for you today
EBOOK [P.D.F] TinyML: Machine Learning with TensorFlow Lite on Arduino and Ultra-Low-Power Microcontrollers Full Pages Details
Details Product: 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 gesturesWork with Arduino and ultra-low-power microcontrollersLearn the essentials of ML and how to train your own modelsTrain models to understand audio, image, and accelerometer dataExplore TensorFlow Lite for Microcontrollers, Google's toolkit for TinyMLDebug applications and provide safeguards for privacy and securityOptimize latency, energy usage, and model and binary size
Author:
Language: English
Format: PDF / EPUB / MOBI
E-Books are now available on this website
Works on PC, iPad, Android, iOS, Tablet, MAC)
THE BEST & MORE SELLER
Discover a new world at your fingertips with our wide selection of books online. Our online bookstore features the latest books, eBooks and audio books from best-selling authors, so you can click through our aisles to browse titles & genres that make jaws fall in love with adults, teens and children. Find the perfect book for you today
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Epub Download TinyML: Machine Learning with
TensorFlow Lite on Arduino and Ultra-Low-Power
Microcontrollers Full Online
Description Epub Download TinyML: Machine
Learning with TensorFlow Lite on Arduino and Ultra-
Low-Power Microcontrollers Full Online
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 gesturesWork with Arduino and
ultra-low-power microcontrollersLearn the essentials of ML and how to train your own
modelsTrain models to understand audio, image, and accelerometer dataExplore
TensorFlow Lite for Microcontrollers, Google's toolkit for TinyMLDebug applications
and provide safeguards for privacy and securityOptimize latency, energy usage, and
model and binary size
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