📚 node [[minimax_loss|minimax loss]]
Welcome! Nobody has contributed anything to 'minimax_loss|minimax loss' yet. You can:
-
Write something in the document below!
- There is at least one public document in every node in the Agora. Whatever you write in it will be integrated and made available for the next visitor to read and edit.
- Write to the Agora from social media.
-
Sign up as a full Agora user.
- As a full user you will be able to contribute your personal notes and resources directly to this knowledge commons. Some setup required :)
⥅ related node [[minimax_loss]]
⥅ node [[minimax_loss]] pulled by Agora
📓
garden/KGBicheno/Artificial Intelligence/Introduction to AI/Week 3 - Introduction/Definitions/Minimax_Loss.md by @KGBicheno
minimax loss
Go back to the [[AI Glossary]]
A loss function for generative adversarial networks, based on the cross-entropy between the distribution of generated data and real data.
Minimax loss is used in the first paper to describe generative adversarial networks.
📖 stoas
- public document at doc.anagora.org/minimax_loss|minimax-loss
- video call at meet.jit.si/minimax_loss|minimax-loss
🔎 full text search for 'minimax_loss|minimax loss'