Authors:
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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Table of contents (6 chapters)
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Front Matter
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Back Matter
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
Authors and Affiliations
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Ludhiana, India
Rahul Bhalley
About the author
Bibliographic Information
Book Title: Deep Learning with Swift for TensorFlow
Book Subtitle: Differentiable Programming with Swift
Authors: Rahul Bhalley
DOI: https://doi.org/10.1007/978-1-4842-6330-3
Publisher: Apress Berkeley, CA
eBook Packages: Professional and Applied Computing, Professional and Applied Computing (R0), Apress Access Books
Copyright Information: Rahul Bhalley 2021
Softcover ISBN: 978-1-4842-6329-7Published: 14 January 2021
eBook ISBN: 978-1-4842-6330-3Published: 13 January 2021
Edition Number: 1
Number of Pages: XIII, 290
Number of Illustrations: 46 b/w illustrations
Topics: Artificial Intelligence