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Autor(en): 
  • Rahul Bhalley
  • Deep Learning with Swift for TensorFlow: Differentiable Programming with Swift 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 2 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 7-14 Tagen versandfertig
    Veröffentlichung:  Januar 2021  
    Genre:  EDV / Informatik 
    ISBN:  9781484263297 
    EAN-Code: 
    9781484263297 
    Verlag:  Apress 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 235 mm / B 155 mm / D 17 mm 
    Gewicht:  464 gr 
    Seiten:  304 
    Zus. Info:  Paperback 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    About this book Discover more insight about deep learning algorithms with Swift for TensorFlow. The Swift language was designed by Apple for optimized performance and development whereas TensorFlow library was designed by Google for advanced machine learning research. Swift for TensorFlow is a combination of both with support for modern hardware accelerators and more. This book covers the deep learning concepts from fundamentals to advanced research. It also introduces the Swift language for beginners in programming. This book is well suited for newcomers and experts in programming and deep learning alike. After reading this book you should be able to program various state-of-the-art deep learning algorithms yourself. The book covers foundational concepts of machine learning. It also introduces the mathematics required to understand deep learning. Swift language is introduced such that it allows beginners and researchers to understand programming and easily transit to Swift for TensorFlow, respectively. You will understand the nuts and bolts of building and training neural networks, and build advanced algorithms. What Yoüll Learn ¿ Understand deep learning concepts ¿ Program various deep learning algorithms ¿ Run the algorithms in cloud Who This Book Is For ¿ Newcomers to programming and/or deep learning, and experienced developers. ¿ Experienced deep learning practitioners and researchers who desire to work in user space instead of library space with a same programming language without compromising the speed

      



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