January 2019
Intermediate to advanced
386 pages
11h 13m
English
book
Python Deep Learning - Second Edition
by Ivan Vasilev, Daniel Slater, Gianmario Spacagna, Peter Roelants, Valentino Zocca
Content preview from Python Deep Learning - Second Edition
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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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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.