📕 subnode [[@KGBicheno/wasserstein_loss]]
in 📚 node [[wasserstein_loss]]
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garden/KGBicheno/Artificial Intelligence/Introduction to AI/Week 3 - Introduction/Definitions/Wasserstein_Loss.md by @KGBicheno
Wasserstein loss
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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 is the default loss function in TF-GAN.
📖 stoas
- public document at doc.anagora.org/wasserstein_loss
- video call at meet.jit.si/wasserstein_loss