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Hi, could you tell me why the labels for classifying fake data is in this way?
label = np.random.randint(0, nb_label, batch_size)
Does a random label for fake data harms the classification accuracy of real data?
The text was updated successfully, but these errors were encountered:
Hi, could you tell me why the labels for classifying fake data is in this way?
label = np.random.randint(0, nb_label, batch_size)
Does a random label for fake data harms the classification accuracy of real data?
The text was updated successfully, but these errors were encountered: