Advanced Deep Learning with Keras

Chapter 6
Figure 6.2.8: A StackedGAN Discriminator model in Keras
Listing 6.2.3, stackedgan-mnist-6.2.1.py shows the Discriminator 1
implementation
in Keras:
def build_discriminator(inputs, z_dim=50):
"""Build Discriminator 1 Model
Classifies feature1 (features) as real/fake image and recovers
the input noise or latent code (by minimizing entropy loss)
# Arguments
inputs (Layer): feature1
z_dim (int): noise dimensionality
# Returns
dis1 (Model): feature1 as real/fake and recovered latent code
"""
# input is 256-dim feature1
x = Dense(256, activation='relu')(inputs)
x = Dense(256, activation='relu')(x)
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