May 2019
Intermediate to advanced
272 pages
7h 19m
English
Content preview from Hands-On Generative Adversarial Networks with Keras
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Experiments
The experiments described in this section focus on two points: the first shows that fake samples have properties that are hardly noticed with visual inspection and that are tightly related to the requirements of differentiability; the second shows that there are numerical differences between statistical moments computed on features extracted from real and fake samples that can be used to identify the data.
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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.