Tiny Ml
0.0
( 2929 )
Engelsk
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 practic...
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Forlagsbeskrivelse af Tiny Ml af Pete Warden
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
Detaljer
Forlag
O'Reilly Media
ISBN
9781492052043
Sprog
Engelsk
Sider
501
Udgivelsesdato
21-01-2020
Format
Paperback
Varenr.
3350791
EAN nr.
9781492052043
Varegruppe
Engelsk non fiction div.
Højde/Dybde (mm)
233
Bredde (mm)
177
Længde (mm)
27
Vægt (g)
880
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