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

Brett Koonce

ISBN 10: 1484261674 / ISBN 13: 9781484261675

Editore: Apress, 2021

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nach der Bestellung gedruckt Neuware - Printed after ordering - 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 recognitionall 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 Tensorflowuses 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 LearnCategorize and augment datasetsBuild and train large networks, including via cloud solutionsDeploy complex systems to mobile devicesWho This Book Is ForDevelopers with Swift programming experience who would like to learn convolutional neural networks by example using Swift for Tensorflow as a starting point.

Codice articolo 9781484261675

Dati bibliografici

• Titolo: Convolutional Neural Networks with Swift for Tensorflow : Image Recognition and Dataset Categorization
• Editore: Apress
• Data di pubblicazione: 2021
• Lingua: Inglese
• ISBN 10: 1484261674
• ISBN 13: 9781484261675
• Rilegatura: Taschenbuch
• Condizione: Neu
• Dimensioni: 235 L x 155 A x 15 P (millimetri) 235 millimetri di larghezza per 155 millimetri di altezza per 15 millimetri di profondità
• Peso: 411 grammi

Descrizione articolo

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.

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.