July 2019
Intermediate to advanced
512 pages
19h 39m
English
Content preview from Hands-On Deep Learning Algorithms with Python
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Are we minimizing JS divergence in GANs?
We know that generators try to learn the real data distribution, 
,so that it can generate new samples from the learned distribution, 
, and the discriminator tells us whether the image is from a real or fake distribution.
We also learned that when 
, then the discriminator cannot tell us whether the image is from a real or a fake distribution. It just outputs 0.5 because it cannot differentiate between
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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.