Data Science, Machine Learning, Deep Learning, Artificial Intelligence, Computer Vision.
and {G(x)}. The objective contains two types of terms: adversarial losses for matching the distribution of generated images to the data distribution in the target domain; and cycle consistency losses to prevent the learned mappings G and F from contradicting each other. Adversarial Loss Adversarial