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Deep learning with Swift for TensorFlow : differentiable programming with Swift /

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 combi...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Bhalley, Rahul (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: [Berkeley, California] : Apress, [2021]
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)

MARC

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100 1 |a Bhalley, Rahul,  |e author. 
245 1 0 |a Deep learning with Swift for TensorFlow :  |b differentiable programming with Swift /  |c Rahul Bhalley. 
264 1 |a [Berkeley, California] :  |b Apress,  |c [2021] 
300 |a 1 online resource (xiii, 290 pages) :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
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520 |a 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 You'll 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. 
505 0 |a Machine learnign basics -- Essential math -- Differentiable programming -- TensorFlow basics -- Neural netowrks -- Computer vision. 
500 |a Includes index. 
588 0 |a Online resource; title from PDF title page (SpringerLink, viewed March 8, 2021). 
590 |a O'Reilly  |b O'Reilly Online Learning: Academic/Public Library Edition 
630 0 0 |a TensorFlow. 
650 0 |a Swift (Computer program language) 
650 0 |a Machine learning. 
650 0 |a Artificial intelligence. 
650 2 |a Artificial Intelligence 
650 2 |a Machine Learning 
650 6 |a Swift (Langage de programmation) 
650 6 |a Apprentissage automatique. 
650 6 |a Intelligence artificielle. 
650 7 |a artificial intelligence.  |2 aat 
650 7 |a Swift (Computer program language)  |2 fast 
650 7 |a Machine learning  |2 fast 
650 7 |a Artificial intelligence  |2 fast 
776 0 8 |i Print version:  |z 9781484263297 
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