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Tinyml: Machine Learning with Tensorflow Lite on Arduino and Ultra-Low-Powe
US $27.94
ApproximatelyAU $41.92
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Postage:
Located in: Sparks, Nevada, United States
Delivery:
Estimated between Tue, 25 Jun and Sat, 29 Jun to 43230
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eBay item number:364020738854
Item specifics
- Condition
- Book Title
- Tinyml: Machine Learning with Tensorflow Lite on Arduino and Ultr
- Publication Date
- 2020-01-21
- Pages
- 501
- ISBN
- 9781492052043
- Subject Area
- Computers, Science
- Publication Name
- Tinyml : Machine Learning with Tensorflow Lite on Arduino and Ultra-Low-Power Microcontrollers
- Publisher
- O'reilly Media, Incorporated
- Item Length
- 9.1 in
- Subject
- Data Modeling & Design, General, Computer Vision & Pattern Recognition
- Publication Year
- 2020
- Type
- Textbook
- Format
- Trade Paperback
- Language
- English
- Item Height
- 1.1 in
- Item Weight
- 30 Oz
- Item Width
- 7 in
- Number of Pages
- 501 Pages
About this product
Product Information
Neural networks are getting smaller. Much smaller. The OK Google team, for example, has run machine learning models that are just 14 kilobytes in size--small enough to work on the digital signal processor in an Android phone. With this practical book, you'll learn about TensorFlow Lite for Microcontrollers, a miniscule machine learning library that allows you to run machine learning algorithms on tiny hardware. Authors Pete Warden and Daniel Situnayake explain how you can train models that are small enough to fit into any environment, including small embedded devices that can run for a year or more on a single coin cell battery. Ideal for software and hardware developers who want to build embedded devices using machine learning, this guide shows you how to create a TinyML project step-by-step. No machine learning or microcontroller experience is necessary. Learn practical machine learning applications on embedded devices, including simple uses such as speech recognition and gesture detection Train models such as speech, accelerometer, and image recognition, you can deploy on Arduino and other embedded platforms Understand how to work with Arduino and ultralow-power microcontrollers Use techniques for optimizing latency, energy usage, and model and binary size
Product Identifiers
Publisher
O'reilly Media, Incorporated
ISBN-10
1492052043
ISBN-13
9781492052043
eBay Product ID (ePID)
4038667237
Product Key Features
Number of Pages
501 Pages
Language
English
Publication Name
Tinyml : Machine Learning with Tensorflow Lite on Arduino and Ultra-Low-Power Microcontrollers
Publication Year
2020
Subject
Data Modeling & Design, General, Computer Vision & Pattern Recognition
Type
Textbook
Subject Area
Computers, Science
Format
Trade Paperback
Dimensions
Item Height
1.1 in
Item Weight
30 Oz
Item Length
9.1 in
Item Width
7 in
Additional Product Features
LCCN
2020-277178
Dewey Edition
23
Target Audience
Scholarly & Professional
Illustrated
Yes
Dewey Decimal
006.31
Lc Classification Number
Q325.5.W37 2020
Item description from the seller
Seller assumes all responsibility for this listing.
eBay item number:364020738854
Postage and handling
Item location:
Sparks, Nevada, United States
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| Postage and handling | To | Service | Delivery*See delivery notes |
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| Free postage | United States | Standard Shipping | Estimated between Tue, 25 Jun and Sat, 29 Jun to 43230 |
| US $5.50 (approx. AU $8.25) | United States | Expedited Shipping | Estimated between Wed, 26 Jun and Mon, 1 Jul to 43230 |
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You must return items in their original packaging and in the same condition as when you received them. If you don't follow our item condition policy for returnsitem condition policy for returns, you may not receive a full refund.
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WONDERFUL book! Better than described, in just like new condition [not just good]. Packaged very carefully, shipped very securely. Great seller, would buy from again in a heartbeat! No communication occurred, but I imagine it would have been as good as the rest of their customer service. Very happy with purchase, thank you very much!
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Past 6 months
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Excellent packaging, expedited shipping, great seller communication, and accurate photo representation. I'm very pleased to have received this graphic novel for a fair and competitive price. Brand new and sealed!! I would highly recommend and purchase from this reputable retailer again. Thank you 👍!
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