What is a Wasserstein loss?
One of the loss functions commonly used in generative adversarial networks, based on the earth mover's distance between the distribution of generated data and real data.
Wasserstein loss explained in plain English
One of the loss functions commonly used in generative adversarial networks, based on the earth mover's distance between the distribution of generated data and real data.
Example
Practitioners refer to wasserstein loss when building, training, or evaluating machine learning systems. It appears in research papers, product documentation, and technical discussions about AI capabilities and limitations.
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