March 2018
Intermediate to advanced
320 pages
7h 53m
English
book
TensorFlow Deep Learning Projects
by Alexey Grigorev, Srinivas Kulkarni, Rajalingappaa Shanmugamani
Content preview from TensorFlow Deep Learning Projects
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Conditional GANs
In conditional GANs (CGANs), adding a vector of features controls the output and provides a better guide to the generator in figuring out what to do. Such a vector of features could encode the class the image should be derived be from (that is an image of a woman or a man if we are trying to create faces of imaginary actors) or even a set of specific characteristics we expect from the image (for imaginary actors, it could be the type of hair, eyes or complexion). The trick is done by incorporating the information into the images to be learned and into the Z input, which is not completely random anymore. The evaluation by the discriminator is done not only on the resemblance of fake data to the original data but also on the ...
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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.
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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.