Practical Machine Learning in JavaScript (PDF)

Name: Practical Machine Learning in JavaScript
Brand: APress
SKU: 139138598
Price: 65.00 CHF
Availability: OnlineOnly

TensorFlow.js for Web Developers (Sprache: Englisch)

Autor: Charlie Gerard

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Practical Machine Learning in JavaScript, Charlie Gerard

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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...

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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

Autoren-Porträt von Charlie Gerard

Charlie Gerard is a Senior front-end developer at Netlify, a Google Developer Expert in Web Technologies, and a Mozilla Tech Speaker. She is passionate about exploring the possibilities of the web and spends her personal time building interactive prototypes using hardware, creative coding, and machine learning. She has been diving into ML in JavaScript for over a year and built a variety of projects. She's excited to share what she's learned and help more developers get started.

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Autor: Charlie Gerard
2020, 1st ed, 323 Seiten, Englisch
Verlag: APress
ISBN-10: 1484264185
ISBN-13: 9781484264188
Erscheinungsdatum: 16.11.2020

Abhängig von Bildschirmgrösse und eingestellter Schriftgrösse kann die Seitenzahl auf Ihrem Lesegerät variieren.

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Dateiformat: PDF
Grösse: 8.91 MB
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Sprache:

Englisch

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