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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!
The text was updated successfully, but these errors were encountered:
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!
The text was updated successfully, but these errors were encountered: