diff options
| -rwxr-xr-x | ncdcgan.py | 11 |
1 files changed, 7 insertions, 4 deletions
@@ -148,7 +148,7 @@ class nCDCGAN(): model.summary() return model - def train(self, epochs, batch_size=128, sample_interval=50, graph=False, smooth_real=1, smooth_fake=0): + def train(self, epochs, batch_size=128, sample_interval=50, graph=False, smooth_real=1, smooth_fake=0, gdbal = 1): # Load the dataset (X_train, y_train), (_, _) = mnist.load_data() @@ -181,9 +181,12 @@ class nCDCGAN(): gen_imgs = self.generator.predict([noise, labels]) # Train the discriminator - 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) + if epoch % gdbal == 0: + 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) + else: + dloss = 0 # --------------------- # Train Generator |