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Hello hungchun! I have a dumb question. For your basic GAN code, may I ask what the variable yc is? For instance, x represents the independent variables while y represents the dependent variables. How about yc?
I understand it is being used to get the loss of the model, however, I do not understand what yc represents in itself (and how it relates to the theoretical derivation of loss for a GAN model given that, in theory, only the original data and noise are supposedly inputted into the discriminator and generator).
Thank you for the clarification!
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