Machine Learning, Data Science, Artificial Intelligence, Towards Data Science, Deep Learning.
is moved. Unfortunately, the exact computation is intractable in this case. However, we can use CNNs to approximate the Wasserstein distance. Here, we reuse the discriminator, whose outputs are now unbounded. We define a custom loss function corresponding to the Wasserstein loss: What is the idea