Deep Learning with Swift for TensorFlow e-bog
473,39 DKK
(inkl. moms 591,74 DKK)
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 l...
E-bog
473,39 DKK
Forlag
Apress
Udgivet
13 januar 2021
Genrer
Artificial intelligence
Sprog
English
Format
epub
Beskyttelse
LCP
ISBN
9781484263303
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 Learnnbsp;Understand deep learning conceptsnbsp;Program various deep learning algorithmsnbsp;Run the algorithms in cloud Who This Book Is Fornbsp;Newcomers to programming and/or deep learning, and experienced developers.nbsp;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