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  1. Bog
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  3. Machine learning
Convolutional Neural Networks with Swift for Tensorflow
- Image Recognition and Dataset Categorization
Af: Brett Koonce
Engelsk
Bogcover for Convolutional Neural Networks with Swift for Tensorflow af Brett Koonce, 9781484261675
Specifikationer
Sprog:
Engelsk
Sider:
245
ISBN-13:
9781484261675
Indbinding:
Paperback
ISBN-10:
1484261674
Kategori:
Udg. Dato:
5 jan 2021
Størrelse i cm:
15,5 x 23,3 x 2,0
Forlag:
Oplagsdato:
5 jan 2021
Forfatter(e):
Genre:

Convolutional Neural Networks with Swift for Tensorflow

- Image Recognition and Dataset Categorization
Af: Brett Koonce
Engelsk
Paperback 2021
Format:
Paperback
Bog beskrivelse
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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582,49 kr
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450 kr
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23 - 25 hverdage
Specifikationer
Sprog:
Engelsk
Sider:
245
ISBN-13:
9781484261675
Indbinding:
Paperback
ISBN-10:
1484261674
Kategori:
Udg. Dato:
5 jan 2021
Størrelse i cm:
15,5 x 23,3 x 2,0
Forlag:
Oplagsdato:
5 jan 2021
Forfatter(e):
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