Convolutional Neural Networks with Swift for Tensorflow - Image Recognition and Dataset Categorization (Paperback, 1st ed.)

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.

General

Imprint:	Apress
Country of origin:	United States
Release date:	2021
First published:	2021
Authors:	Brett Koonce
Dimensions:	235 x 155 x 20mm (L x W x T)
Format:	Paperback
Pages:	245
Edition:	1st ed.
ISBN-13:	978-1-4842-6167-5
Categories:	Books > Computing & IT > Computer programming > General Books > Computing & IT > Computer hardware & operating systems > Operating systems & graphical user interfaces (GUIs) > Macintosh OS Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning Books > Computing & IT > Applications of computing > Artificial intelligence > Neural networks
LSN:	1-4842-6167-4
Barcode:	9781484261675

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