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

MRP: Rs.1,500.00
Price in points: 1500 points
9789352139606
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Minimum quantity for "TinyML: Machine Learning with TensorFlow Lite on Arduino and Ultra-Low-Power Microcontrollers" is 1.

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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 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

Books

Author:
Pete Warden
Author 2:
Daniel Situnayake
Binding:
Paperback
Condition Type:
New
Country Origin:
India
Edition:
First
Gift Wrap:
N
Leadtime to ship in days (default):
Usually ships in 1-2 days
Leadtime to ship in days(if not in stock):
Usually ships in 12-15 days
Pages:
504
Publisher:
Shroff/ O'Reilly
Year:
2019

Dimensions

Dimensions (W x H x D):
7 x 9 x 1 inch

Table of Contents (9789352139606_toc.pdf, 189 Kb) [Download]