Deep Learning with Swift for TensorFlow (eBook)

Discover more insight about deep learning and how to work with Swift for TensorFlow to develop intelligent apps. TensorFlow was designed for easy adoption by iOS programmers working in Swift. This book covers the established and tested concepts and ties them to modern Swift programming and applicable use in developing for iOS.

Rahul Bhalley published the first research paper on machine learning in 2016 for an IEEE conference. He actively contributes to open-source works on GitHub, including contributing to others' repositories and writing his own neural networks for generating images. He also focuses on generative models-especially Generative Adversarial Networks and published on the subject in February 2019 with CycleGAN-QP for artist style transfer. 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. 

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About this bookDiscover 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