From 03f2c41ac69084cde7a61eb04303078e3c4785a7 Mon Sep 17 00:00:00 2001 From: Vasil Zlatanov Date: Wed, 13 Mar 2019 20:03:09 +0000 Subject: Update cdcgan with *better* one --- cdcgan.py | 20 +++++++------------- 1 file changed, 7 insertions(+), 13 deletions(-) (limited to 'cdcgan.py') 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() -- cgit v1.2.3-54-g00ecf