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 conditional variable, 
, to the generator, and it will output the fake image, that is, 
:
fake_x = generator(z, c)
Now we feed the real image 
along with conditional variable, , to the discriminator, ...
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