Convolutional Neural Networks with Swift for Tensorflow: Image Recognition and Dataset Categorization - Brossura

Koonce, Brett

Brossura

ISBN 10: 1484261674 ISBN 13: 9781484261675

Casa editrice: Apress, 2021

Riassunto

Dive into and apply practical machine learning and dataset categorization techniques while learning Tensorflow and deep learning. This book uses convolutional neural networks to do image recognition all in the familiar and easy to work with Swift language. 

It begins with a basic machine learning overview and then ramps up to neural networks and convolutions and how they work. Using Swift and Tensorflow, you'll perform data augmentation, build and train large networks, and build networks for mobile devices. You’ll also cover cloud training and the network you build can categorize greyscale data, such as mnist, to large scale modern approaches that can categorize large datasets, such as imagenet.  

Convolutional Neural Networks with Swift for Tensorflow uses a simple approach that adds progressive layers of complexity until you have arrived at the current state of the art for this field. 

What You'll Learn

• Categorize and augment datasets
  
• Build and train large networks, including via cloud solutions
  
• Deploy complex systems to mobile devices
  

Who This Book Is For

Developers with Swift programming experience who would like to learn convolutional neural networks by example using Swift for Tensorflow as a starting point.

Su questo libro

Informazioni sull'autore

Brett Koonce is the CTO of Quarkworks, a mobile consulting agency.  He's a developer with five years experience creating apps for iOS and Android. His team has worked on dozens of apps that are used by millions of people around the world. Brett knows the pitfalls of development and can help you avoid them. Whether you want to build something from scratch, port your app from iOS to Android (or vice versa) or accelerate your velocity, Brett can help.

Dalla quarta di copertina

Dive into and apply practical machine learning and dataset categorization techniques while learning Tensorflow and deep learning. This book uses convolutional neural networks to do image recognition all in the familiar and easy to work with Swift language. 

It begins with a basic machine learning overview and then ramps up to neural networks and convolutions and how they work. Using Swift and Tensorflow, you'll perform data augmentation, build and train large networks, and build networks for mobile devices. You ll also cover cloud training and the network you build can categorize greyscale data, such as mnist, to large scale modern approaches that can categorize large datasets, such as imagenet.  

Convolutional Neural Networks with Swift for Tensorflow uses a simple approach that adds progressive layers of complexity until you have arrived at the current state of the art for this field. 

You will:

• Categorize and augment datasets
  
• Build and train large networks, including via cloud solutions
  
• Deploy complex systems to mobile devices

Dettagli dell'edizione

• Editore: Apress
• Data di pubblicazione: 2021
• Lingua: Inglese
• ISBN 10: 1484261674
• ISBN 13: 9781484261675
• Rilegatura: Copertina flessibile
• Numero edizione: 1
• Numero di pagine: 268
• Contatto del produttore: Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com; ; Europaplatz 3,69115 Heidelberg, Germany; Heidelberg; 69115; Germania