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NMZivkovic/gan_generator_model.py

Created December 16, 2018 15:18
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gan_generator_model.py
def _build_generator_model(self):
generator_input = Input(shape=(self.generator_input_dim,))
generator_seqence = Sequential(
[Dense(256, input_dim=self.generator_input_dim),
LeakyReLU(alpha=0.2),
BatchNormalization(momentum=0.8),
Dense(512),
LeakyReLU(alpha=0.2),
BatchNormalization(momentum=0.8),
Dense(1024),
LeakyReLU(alpha=0.2),
BatchNormalization(momentum=0.8),
Dense(np.prod(self.img_shape), activation='tanh'),
Reshape(self.img_shape)])
generator_output_tensor = generator_seqence(generator_input)
self.generator_model = Model(generator_input, generator_output_tensor)
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