Deep Learning with Swift for TensorFlow
eBook - ePub

Deep Learning with Swift for TensorFlow

Differentiable Programming with Swift

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Deep Learning with Swift for TensorFlow

Differentiable Programming with Swift

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

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Yes, you can access Deep Learning with Swift for TensorFlow by Rahul Bhalley in PDF and/or ePUB format, as well as other popular books in Computer Science & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Front Matter
  3. 1.Ā Machine Learning Basics
  4. 2.Ā Essential Math
  5. 3.Ā Differentiable Programming
  6. 4.Ā TensorFlow Basics
  7. 5.Ā Neural Networks
  8. 6.Ā Computer Vision
  9. Back Matter