Practical machine learning in Javascript : tensorflow.js for web developers

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 skill...

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Bibliographic Details
Main Author: Gerard, Charlie.
Format: eBook
Language: English
Published: [United States] : Apress, 2021.
Subjects:
TensorFlow.
Machine learning.
Artificial intelligence.
elektronické knihy
electronic books
ISBN: 9781484264188
1484264185
1484264177
9781484264171
Physical Description: 1 online resource

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Table of contents

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001 kn-on1222863758
003 OCoLC
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006 m o d
007 cr cn|||||||||
008 201118s2021 xxu o 000 0 eng d
040 |a YDX  |b eng  |e pn  |c YDX  |d ERF  |d OCLCF  |d GW5XE  |d OCLCO  |d VT2  |d TOH  |d N$T  |d K6U  |d OCL  |d OCLCQ  |d OCLCO  |d COM  |d OCLCQ  |d OCLCO  |d OCLCL 
020 |a 9781484264188  |q (electronic bk.) 
020 |a 1484264185  |q (electronic bk.) 
020 |z 1484264177 
020 |z 9781484264171 
024 7 |a 10.1007/978-1-4842-6418-8  |2 doi 
035 |a (OCoLC)1222863758  |z (OCoLC)1228597266  |z (OCoLC)1232857072 
100 1 |a Gerard, Charlie. 
245 1 0 |a Practical machine learning in Javascript :  |b tensorflow.js for web developers /  |c Charlie Gerard. 
260 |a [United States] :  |b Apress,  |c 2021. 
300 |a 1 online resource 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
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. 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
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. 
590 |a Knovel  |b Knovel (All titles) 
630 0 0 |a TensorFlow. 
650 0 |a Machine learning. 
650 0 |a Artificial intelligence. 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
776 0 8 |i Print version:  |z 1484264177  |z 9781484264171  |w (OCoLC)1191237639 
856 4 0 |u https://proxy.k.utb.cz/login?url=https://app.knovel.com/hotlink/toc/id:kpPMLJSTF1/practical-machine-learning?kpromoter=marc  |y Full text 

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