October 2018
Intermediate to advanced
472 pages
10h 57m
English
Content preview from Python Deep Learning Projects
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Chapter 13 – Image Translation Using GANs for Style Transfer
GANs are just downright cool. When we look back at the skills and intuition we've built throughout these projects, we had an interesting idea. Could we predict missing information? Or, stated in a different way: can we create data that should be in an image, but that's not there? If we can take text input and generate novel text output, and if we can take a 2D image and generate or predict a 3D positional output, then it would seem possible that, if we have a 2D image that's missing some information, maybe we ought to be able to generate the missing information? So, in this chapter, we built a neural network that fills in the missing part of a handwritten digit. We previously built ...
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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.