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-rw-r--r--cgan.py6
1 files changed, 3 insertions, 3 deletions
diff --git a/cgan.py b/cgan.py
index b9928f0..45b9bb9 100644
--- a/cgan.py
+++ b/cgan.py
@@ -113,7 +113,7 @@ class CGAN():
return Model([img, label], validity)
- def train(self, epochs, batch_size=128, sample_interval=50, graph=False):
+ def train(self, epochs, batch_size=128, sample_interval=50, graph=False, smooth_real=1, smooth_fake=0):
# Load the dataset
(X_train, y_train), (_, _) = mnist.load_data()
@@ -147,8 +147,8 @@ class CGAN():
gen_imgs = self.generator.predict([noise, labels])
# Train the discriminator
- d_loss_real = self.discriminator.train_on_batch([imgs, labels], valid)
- d_loss_fake = self.discriminator.train_on_batch([gen_imgs, labels], fake)
+ d_loss_real = self.discriminator.train_on_batch([imgs, labels], valid*smooth_real)
+ d_loss_fake = self.discriminator.train_on_batch([gen_imgs, labels], valid*smooth_fake)
d_loss = 0.5 * np.add(d_loss_real, d_loss_fake)
# ---------------------