📚 node [[convergence|convergence]]

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⥅ related node [[2006 07 26 openid bounties and identity convergence]]

⥅ related node [[convergence]]

⥅ related node [[the agora is a platform for studying convergence]]

⥅ node [[convergence]] pulled by Agora

📓 garden/flancian/convergence.md by @flancian

Convergence

[[convergence]] feels great.
- It is a form of [[synthesis]].
- I kind of [[love]] it.
- I dream of a [[world]] of convergence in [[open protocols]], [[open source]], [[open ethics]].
- It is my aspiration to [[build bridges]].
https://twitter.com/flancian/status/1370824180028047363

📓 garden/KGBicheno/Artificial Intelligence/Introduction to AI/Week 3 - Introduction/Definitions/Convergence.md by @KGBicheno

convergence

Go back to the [[AI Glossary]]

Informally, often refers to a state reached during training in which training loss and validation loss change very little or not at all with each iteration after a certain number of iterations. In other words, a model reaches convergence when additional training on the current data will not improve the model. In deep learning, loss values sometimes stay constant or nearly so for many iterations before finally descending, temporarily producing a false sense of convergence.