Deep Learning with Swift for TensorFlow

Differentiable Programming with Swift

de

Éditeur :

Apress


Paru le : 2021-01-13



eBook Téléchargement , DRM LCP 🛈 DRM Adobe 🛈
Lecture en ligne (streaming)
62,11

Téléchargement immédiat
Dès validation de votre commande
Ajouter à ma liste d'envies
Image Louise Reader présentation

Louise Reader

Lisez ce titre sur l'application Louise Reader.

Description

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

Pages
290 pages
Collection
n.c
Parution
2021-01-13
Marque
Apress
EAN papier
9781484263297
EAN PDF
9781484263303

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
29
Taille du fichier
4014 Ko
Prix
62,11 €
EAN EPUB
9781484263303

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
29
Taille du fichier
5663 Ko
Prix
62,11 €

Suggestions personnalisées