Deep Learning with Swift for TensorFlow

Differentiable Programming with Swift

Authors: Bhalley, Rahul

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  • Understand neural networks from a Swift for TensorFlow perspective
  • Learn the fundamental basics of neural networks
  • Use Swift to program for Deep Learning, which is being suggested by researchers as a new era’s dominant deep learning language
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eBook $34.99
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  • ISBN 978-1-4842-6330-3
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Softcover $44.99
price for USA
  • ISBN 978-1-4842-6329-7
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  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions & severe weather in the US may cause delays
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
About this book

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


About the authors

Rahul Bhalley is an independent machine intelligence researcher. He was the co-founder of a short-lived deep learning startup in 2018. He has published research papers in areas such as speech processing and generative modeling. He actively contributes to open source projects related to deep learning on GitHub. He has also worked with Apple's Swift and shares Google's vision of making it easy for others to understand deep learning with Swift.

Table of contents (6 chapters)

Table of contents (6 chapters)

Buy this book

eBook $34.99
price for USA
  • ISBN 978-1-4842-6330-3
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $44.99
price for USA
  • ISBN 978-1-4842-6329-7
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions & severe weather in the US may cause delays
  • Usually ready to be dispatched within 3 to 5 business days, if in stock

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Bibliographic Information

Bibliographic Information
Book Title
Deep Learning with Swift for TensorFlow
Book Subtitle
Differentiable Programming with Swift
Authors
Copyright
2021
Publisher
Apress
Copyright Holder
Rahul Bhalley
eBook ISBN
978-1-4842-6330-3
DOI
10.1007/978-1-4842-6330-3
Softcover ISBN
978-1-4842-6329-7
Edition Number
1
Number of Pages
XIII, 290
Number of Illustrations
46 b/w illustrations
Topics