Our main goal is for the generator to produce realistic images and the GAN framework is a vehicle for that goal. We'll train the generator and the discriminator separately and sequentially (one after the other), and alternate between the two phases multiple times.
Before going into more detail, let's use the following figure to introduce some notations:
, where 
are the network weights, and 
is the ...Get Python Deep Learning - Second Edition now with the O’Reilly learning platform.
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