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portada Convolutional Neural Networks With Swift for Tensorflow: Image Recognition and Dataset Categorization
Type
Physical Book
Publisher
Year
2021
Language
English
Pages
268
Format
Paperback
Dimensions
23.4 x 15.6 x 1.4 cm
Weight
0.38 kg.
ISBN13
9781484261675
Edition No.
1

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

Brett Koonce (Author) · Apress · Paperback

Convolutional Neural Networks With Swift for Tensorflow: Image Recognition and Dataset Categorization - Koonce, Brett

Physical Book

£ 42.98

  • Condition: New
Origin: U.S.A. (Import costs included in the price)
It will be shipped from our warehouse between Thursday, June 27 and Monday, July 15.
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Synopsis "Convolutional Neural Networks With Swift for Tensorflow: Image Recognition and Dataset Categorization"

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 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.

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