July 2019
Intermediate to advanced
512 pages
19h 39m
English
Content preview from Hands-On Deep Learning Algorithms with Python
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Architecture of a GAN
The architecture of a GAN is shown in the following diagram:
As shown in the preceding diagram, Generator 
takes the random noise, 
, as input by sampling from a uniform or normal distribution and generates a fake image by implicitly learning the distribution of the training set.
We sample an image, 
, from the real data distribution, ...
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