def model_setup(self):
"""Prepares all the model architectures required for the application."""
self.G = DCGenerator()
self.D = JointDCDiscriminator(
number_of_outputs=self.settings.number_of_bins)
self.DNN = JointDCDiscriminator(
number_of_outputs=self.settings.number_of_bins)
def model_setup(self):
"""Prepares all the model architectures required for the application."""
self.G = DCGenerator()
self.D = DenseNetDiscriminator()
self.DNN = DenseNetDiscriminator()
def model_setup(self):
"""Prepares all the model architectures required for the application."""
self.G = DCGenerator()
self.D = KnnDenseNetCatDggan()
self.DNN = KnnDenseNetCatDggan()
def model_setup(self):
"""Prepares all the model architectures required for the application."""
self.G = DCGenerator()
self.D = SpatialPyramidPoolingDiscriminator()
self.DNN = SpatialPyramidPoolingDiscriminator()