January 2019
Intermediate to advanced
316 pages
8h 16m
English
To create a generator network that generates images that are similar to real images, we try to increase the similarity of the data generated by the generator to real data. To measure the similarity, we use objective functions. Both networks have their own objective functions and during the training, they try to minimize their respective objective functions. The following equation represents the final objective function for GANs:
In the preceding equation,
is the discriminator model, is the generator model, is the real data ...
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