point that the discriminator currently finds to be most likely so Luke Metz and his collaborators produced a really nice visualization of this in their recent papers submitted to iclear where we have this target distribution shown in the middle of the slide which has several different modes in two-dimensional space and then over time we see how as we move left to right and train a generative adversarial Network we learn to sample from different modes of that distribution but we don't ever actually get multiple modes at the same time this