diff options
| -rwxr-xr-x | cgan.py | 7 | 
1 files changed, 4 insertions, 3 deletions
| @@ -15,7 +15,7 @@ from tqdm import tqdm  import numpy as np  class CGAN(): -    def __init__(self, dense_layers = 3): +    def __init__(self, dense_layers = 3, dropout=0.4):          # Input shape          self.img_rows = 28          self.img_cols = 28 @@ -24,6 +24,7 @@ class CGAN():          self.num_classes = 10          self.latent_dim = 100          self.dense_layers = dense_layers +        self.dropout = dropout          optimizer = Adam(0.0002, 0.5) @@ -87,10 +88,10 @@ class CGAN():          model.add(LeakyReLU(alpha=0.2))          model.add(Dense(512))          model.add(LeakyReLU(alpha=0.2)) -        model.add(Dropout(0.4)) +        model.add(Dropout(self.dropout))          model.add(Dense(512))          model.add(LeakyReLU(alpha=0.2)) -        model.add(Dropout(0.4)) +        model.add(Dropout(self.dropout))          model.add(Dense(1, activation='sigmoid'))          #model.summary() | 
