An edition of TensorFlow (2018)

TensorFlow

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TensorFlow
Matthew Scarpino, Matthew Scar ...
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Last edited by MARC Bot
May 24, 2019 | History
An edition of TensorFlow (2018)

TensorFlow

  • 8 Want to read

"Google TensorFlow has become the darling of financial firms and research organizations, but the technology can be intimidating and the learning curve is steep. Luckily, TensorFlow For Dummies is here to offer you a friendly, easy-to-follow book on the subject. Inside, you’ll find out how to write applications with TensorFlow, while also grasping the concepts underlying machine learning—all without ever losing your cool!Machine learning has become ubiquitous in modern society, and its applications include language translation, robotics, handwriting analysis, financial prediction, and image recognition. TensorFlow is Google's preeminent toolset for machine learning, and this hands-on guide makes it easy to understand, even for those without a background in artificial intelligence. Install TensorFlow on your computer.Learn the fundamentals of statistical regression and neural networks.Visualize the machine learning process with TensorBoard.Perform image recognition with convolutional neural networks (CNNs). Analyze sequential data with recurrent neural networks (RNNs). Execute TensorFlow on mobile devices and the Google Cloud Platform (GCP).If you’re a manager or software developer looking to use TensorFlow for machine learning, this is the book you’ll want to have close by." -- Provided by publisher

Publish Date
Language
English
Pages
336

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Edition Availability
Cover of: TensorFlow
TensorFlow
2018, John Wiley & Sons, Inc.
in English

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Book Details


Edition Notes

"Learning made easy"--Cover.

Includes index.

Published in
Hoboken, New Jersey
Series
For dummies, --For dummies
Other Titles
TensorFlow for dummies

Classifications

Library of Congress
Q325.5

The Physical Object

Pagination
xi, 336 pages
Number of pages
336

Edition Identifiers

Open Library
OL26951522M
ISBN 10
1119466210
ISBN 13
9781119466215
OCLC/WorldCat
1030305909
Amazon ID (ASIN)
B07BB5ZH3Z

Work Identifiers

Work ID
OL19738443W

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