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Practical machine learning in Javasc...

Gerard, Charlie.

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Practical machine learning in Javascript = tensorflow.js for web developers /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Practical machine learning in Javascript/ by Charlie Gerard.
Reminder of title:	tensorflow.js for web developers /
Author:	Gerard, Charlie.
Published:	Berkeley, CA :Apress : : 2021.,
Description:	xvi, 323 p. :ill., digital ;24 cm.
[NT 15003449]:	Chapter 1: The Basics of Machine Learning -- Chapter 2: Tensorflow.js -- Chapter 3: Building an Image Classifier -- Chapter 4: -- Text Classification and Sentiment Analysis -- Chapter 5: Experimenting with Inputs -- Chapter 6: Machine Learning in Production -- Chapter 7: Bias in Machine Learning.
Contained By:	Springer Nature eBook
Subject:	Machine learning. -
Online resource:	https://doi.org/10.1007/978-1-4842-6418-8
ISBN:	9781484264188

Practical machine learning in Javascript = tensorflow.js for web developers /
Gerard, Charlie.

Practical machine learning in Javascripttensorflow.js for web developers /[electronic resource] :by Charlie Gerard. - Berkeley, CA :Apress :2021. - xvi, 323 p. :ill., digital ;24 cm.

Chapter 1: The Basics of Machine Learning -- Chapter 2: Tensorflow.js -- Chapter 3: Building an Image Classifier -- Chapter 4: -- Text Classification and Sentiment Analysis -- Chapter 5: Experimenting with Inputs -- Chapter 6: Machine Learning in Production -- Chapter 7: Bias in Machine Learning.

Build machine learning web applications without having to learn a new language. This book will help you develop basic knowledge of machine learning concepts and applications. You'll learn not only theory, but also dive into code samples and example projects with TensorFlow.js. Using these skills and your already honed skills as a web developer, you'll add a whole new field of development to your skill set. This will give you a more concrete understanding of the possibilities offered by machine learning. Discover how ML will impact the future of not just programming in general, but web development specifically. Get started in machine learning with web technologies. Machine learning is currently one of the most exciting technology fields with the potential to impact industries from health to home automation to retail, and even art. Google has now introduced TensorFlow.js-an iteration of TensorFlow aimed directly at web developers. Practical Machine Learning in JavaScript will help you stay relevant in the tech industry with new tools, trends, and best practices. You will: Use the JavaScript framework for ML Build machine learning applications for the web Develop dynamic and intelligent web content.

ISBN: 9781484264188

Standard No.: 10.1007/978-1-4842-6418-8doiSubjects--Uniform Titles:

TensorFlow.
Subjects--Topical Terms:

533906
Machine learning.

LC Class. No.: Q325.5 / .G47 2021

Dewey Class. No.: 006.31

Practical machine learning in Javascript = tensorflow.js for web developers /
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245 1 0 $a Practical machine learning in Javascript $h [electronic resource] : $b tensorflow.js for web developers / $c by Charlie Gerard.
260 $a Berkeley, CA : $b Apress : $b Imprint: Apress, $c 2021.
300 $a xvi, 323 p. : $b ill., digital ; $c 24 cm.
505 0 $a Chapter 1: The Basics of Machine Learning -- Chapter 2: Tensorflow.js -- Chapter 3: Building an Image Classifier -- Chapter 4: -- Text Classification and Sentiment Analysis -- Chapter 5: Experimenting with Inputs -- Chapter 6: Machine Learning in Production -- Chapter 7: Bias in Machine Learning.
520 $a Build machine learning web applications without having to learn a new language. This book will help you develop basic knowledge of machine learning concepts and applications. You'll learn not only theory, but also dive into code samples and example projects with TensorFlow.js. Using these skills and your already honed skills as a web developer, you'll add a whole new field of development to your skill set. This will give you a more concrete understanding of the possibilities offered by machine learning. Discover how ML will impact the future of not just programming in general, but web development specifically. Get started in machine learning with web technologies. Machine learning is currently one of the most exciting technology fields with the potential to impact industries from health to home automation to retail, and even art. Google has now introduced TensorFlow.js-an iteration of TensorFlow aimed directly at web developers. Practical Machine Learning in JavaScript will help you stay relevant in the tech industry with new tools, trends, and best practices. You will: Use the JavaScript framework for ML Build machine learning applications for the web Develop dynamic and intelligent web content.
630 0 0 $a TensorFlow. $3 3446650
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650 0 $a Artificial intelligence. $3 516317
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