July 2019
Intermediate to advanced
512 pages
19h 39m
English
Content preview from Hands-On Deep Learning Algorithms with Python
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Start the GAN
First, we feed the noise, 
and the code, 
to the generator, and it will output the fake image according to the equation 
:
fake_x = generator(c, z)
Now we feed the real image, 
, to the discriminator, 
, and get the probability that the ...
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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.