January 2019
Intermediate to advanced
316 pages
8h 16m
English
Content preview from Generative Adversarial Networks Projects
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Full objective function
The full objective function is a weighted sum of both the adversarial loss and the cycle consistency loss, which is represented as follows:
Here, 
is the first adversarial loss and 
is the second adversarial loss. The first adversarial loss is calculated on the generator A, and the discriminator B. The second adversarial loss is calculated on the generator B, and the discriminator A.
To train a CycleGAN, we need to optimize ...
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