Practical Machine Learning in JavaScript

TensorFlow.js for Web Developers

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Éditeur :

Apress


Paru le : 2020-11-16



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Description

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 knowledge as a web developer, you’ll add a whole new field of development to your tool 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. 
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.
What You'll Learn

Use the JavaScript framework for MLBuild machine learning applications for the webDevelop dynamic and intelligent web content
Who This Book Is For


Web developers and who want a hands-on introduction to machine learning in JavaScript. A working knowledge of the JavaScript language is recommended. 

Pages
323 pages
Collection
n.c
Parution
2020-11-16
Marque
Apress
EAN papier
9781484264171
EAN PDF
9781484264188

Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
32
Taille du fichier
9349 Ko
Prix
56,19 €
EAN EPUB
9781484264188

Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
32
Taille du fichier
10957 Ko
Prix
56,19 €

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