def learn_dictionary(self, training_images): # Learn a dictionary of basis elements from the training images dictionary = tf.Variable(tf.random_normal([self.num_basis_elements, self.image_size])) return dictionary
# Learn a dictionary of basis elements from a training set of JPG images training_images = ... dictionary = model.learn_dictionary(training_images) filedot daisy model com jpg
import tensorflow as tf
# Create an instance of the Filedot Daisy Model model = FiledotDaisyModel(num_basis_elements=100, image_size=256) and in practice
# Generate a new JPG image as a combination of basis elements new_image = model.generate_image(dictionary, num_basis_elements=10) Note that this is a highly simplified example, and in practice, you may need to consider additional factors such as regularization, optimization, and evaluation metrics. and evaluation metrics.