November 2018
Intermediate to advanced
322 pages
7h 54m
English
Content preview from TensorFlow Machine Learning Projects
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Understanding DiscoGANs
In this section, we are mainly going to take a closer look at Discovery GANS, which are popularly known as DiscoGANs.
Before going further, let's try to understand reconstruction loss in machine learning, since this is one of the concepts that this chapter is majorly dependent on. When learning about the representation of an unstructured data type such as an image/text, we want our model to encode the data in such a manner that when it's decoded, the underlying image/text can be generated back. To incorporate this condition in the model explicitly, we use a reconstruction loss (essentially the Euclidean distance between the reconstructed and original image) in training the model.
Style transfer has been one of the ...
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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.