hi~, In your paper, for the generated DCGAN pictures, the probability for each class is the same ,i.e. 1/k(k is the numer of the class), while in the training stage , we have to assign a label for any training sample, so i do not know how to assign label for the generated DCGAN pictures, however, i looked at your source code in prepare_gan_data.m, it seems that the label for the generated DCGAN samples is 0, i'm a little confused, can you explaining why? thanks! (chinese is also OK if it is easier to explain)
hi~, In your paper, for the generated DCGAN pictures, the probability for each class is the same ,i.e. 1/k(k is the numer of the class), while in the training stage , we have to assign a label for any training sample, so i do not know how to assign label for the generated DCGAN pictures, however, i looked at your source code in prepare_gan_data.m, it seems that the label for the generated DCGAN samples is 0, i'm a little confused, can you explaining why? thanks! (chinese is also OK if it is easier to explain)