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Autor(en): 
  • Charlie Gerard
  • Practical Machine Learning in JavaScript: TensorFlow.js for Web Developers 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 5-10 Tagen versandfertig
    Veröffentlichung:  November 2020  
    Genre:  EDV / Informatik 
     
    AI / ArtificialIntelligence / DeepLearning / DL / JavaScript / machinelearning / ML / neuralnetworks
    ISBN:  9781484264171 
    EAN-Code: 
    9781484264171 
    Verlag:  Apress 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 235 mm / B 155 mm / D 19 mm 
    Gewicht:  517 gr 
    Seiten:  340 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    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 ML Build machine learning applications for the web Develop 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.

      



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