Machine Learning, Deep Learning, Generative Model, Adversarial Network, Autoencoder.
don’t have any criteria for the quantitative evaluation of the results except to check whether the generated images are perceptually realistic or not. Conclusion Deep Learning models are really achieving human level performance in supervised learning but the same is not true for unsupervised