Difference between revisions of "Single-model generality"
(Created page with "In machine learning, '''single-model generality''' is the kind of generality where literally the same model (i.e. weights in a neural network, or whatever) can be used to solv...") |
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Latest revision as of 20:19, 11 August 2021
In machine learning, single-model generality is the kind of generality where literally the same model (i.e. weights in a neural network, or whatever) can be used to solve many different problems. This contrasts to single-architecture generality.
