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Python Deep Learning - Second Edition
book

Python Deep Learning - Second Edition

by Ivan Vasilev, Daniel Slater, Gianmario Spacagna, Peter Roelants, Valentino Zocca
January 2019
Intermediate to advanced
386 pages
11h 13m
English
Packt Publishing
Content preview from Python Deep Learning - Second Edition

Artistic style transfer

Artistic style transfer is the use of the style (or texture) of one image to reproduce the semantic content of another. It can be implemented with different algorithms, but the most popular way was introduced in 2015 in the paper A Neural Algorithm of Artistic Style (https://arxiv.org/abs/1508.06576) by Leon A. Gatys, Alexander S. Ecker, and Matthias Bethge. It's also known as neural style transfer and it uses (you guessed it!) CNNs. The basic algorithm has been improved and tweaked over the past few years, but in this section we'll look at the way it was first introduced, because it will give us a good foundation for understanding the latest versions.

The algorithm takes two images as input:

  • Content image (C) we ...
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Publisher Resources

ISBN: 9781789348460Supplemental Content