Comments (3)
stsykin
commented on July 27, 2024
Also in this file the same problem in save_images():
noise = np.random.normal(0, 1, (r * c, 100))
sampled_labels = np.arange(0, 10).reshape(-1, 1)
But I expected this one:
noise = np.random.normal(0, 1, (r * c, self.latent_dim))
sampled_labels = np.arange(0, self.num_classes).reshape(-1, 1)
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stsykin
commented on July 27, 2024
Sorry, but the same in train():
noise = np.random.normal(0, 1, (batch_size, 100))
but expected
noise = np.random.normal(0, 1, (batch_size, self.latent_dim))
And
sampled_labels = np.random.randint(0, 10, batch_size).reshape(-1, 1)
expected
sampled_labels = np.random.randint(0, self.num_classes, batch_size).reshape(-1, 1)
from keras-gan.
stsykin
commented on July 27, 2024
Thanks a lot!
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