GAN/Architectures/models/conditional_gan.py
def plot_random_generated_images(self):
        """create a plot of randomly generated images (reversed grayscale)"""
        dimensions=(10, 10)
        figsize=(10, 10)
        n_samples=100
        
        (X, _), _ = self.generate_generator_prediction_samples(n_samples)
            
        self.grid_plot(X, dimensions=dimensions, figsize=figsize)
create a plot of randomly generated images (reversed grayscale)
create a plot of randomly generated images (reversed grayscale)
create a plot of randomly generated images ( reversed grayscale )
def plot_random_generated_images(self):
        dimensions=(10, 10)
        figsize=(10, 10)
        n_samples=100
        (X, _), _ = self.generate_generator_prediction_samples(n_samples)
        self.grid_plot(X, dimensions=dimensions, figsize=figsize)
def plot_random_generated_images ( self ) : dimensions = ( 10 , 10 ) figsize = ( 10 , 10 ) n_samples = 100 ( X , _ ) , _ = self . generate_generator_prediction_samples ( n_samples ) self . grid_plot ( X , dimensions = dimensions , figsize = figsize )
create a plot of randomly generated images (reversed grayscale)
create a plot of randomly generated images ( reversed grayscale )
"""create a plot of randomly generated images (reversed grayscale)"""
self