diff options
| -rwxr-xr-x | cgan.py | 3 | 
1 files changed, 2 insertions, 1 deletions
| @@ -142,9 +142,10 @@ class CGAN():              # Train the discriminator              if smooth == True:                  d_loss_real = self.discriminator.train_on_batch([imgs, labels], valid*0.9) +                d_loss_fake = self.discriminator.train_on_batch([gen_imgs, labels], valid*0.1)              else:                  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_fake = self.discriminator.train_on_batch([gen_imgs, labels], fake)              d_loss = 0.5 * np.add(d_loss_real, d_loss_fake)              # --------------------- | 
