TinyML

Released on by Pete Warden
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  • TinyML Book Detail

  • Author : Pete Warden
  • Release Date : 2019-12-16
  • Publisher : O'Reilly Media
  • Genre : Computers
  • Pages : 504
  • ISBN 13 : 1492052019
  • File Size : 20,20 MB
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TinyML by Pete Warden PDF Summary

Book Description: 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

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TinyML

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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 ru

Introduction to TInyML

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This book is an effort by AI Technology & Systems to demystify the TinyML technology including market, applications, algorithms, tools and technology. the book

Interpretable Machine Learning

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File Size : 14,14 MB
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This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simp