Update cdcgan with *better* one

1 files changed, 7 insertions, 13 deletions

diff --git a/cdcgan.py b/cdcgan.py
index 7b517ca..01368ac 100755
--- a/cdcgan.py
+++ b/cdcgan.py
@@ -65,22 +65,16 @@ class CDCGAN():
 
         model.add(Dense(128 * 7 * 7, activation="relu", input_dim=self.latent_dim))
         model.add(Reshape((7, 7, 128)))
-        model.add(UpSampling2D())
 
-        for i in range(self.conv_layers):
-            model.add(Conv2D(128, kernel_size=3, padding="same"))
-            model.add(BatchNormalization())
-            model.add(Activation("relu"))
-
-        model.add(UpSampling2D())
-
-        for i in range(self.conv_layers):
-            model.add(Conv2D(64, kernel_size=3, padding="same"))
-            model.add(BatchNormalization())
+        model.add(Conv2DTranspose(256, kernel_size=3, padding="same", strides=(2,2)))
+        model.add(BatchNormalization())
+        model.add(Activation("relu"))
 
-            model.add(Activation("relu"))
+        model.add(Conv2DTranspose(128, kernel_size=3, padding="same", strides=(2,2)))
+        model.add(BatchNormalization())
+        model.add(Activation("relu"))
 
-        model.add(Conv2D(self.channels, kernel_size=3, padding="same"))
+        model.add(Conv2DTranspose(64, kernel_size=3, padding="same"))
         model.add(Activation("tanh"))
 
         #model.summary()