Translations:Gradient Descent/1/en: Difference between revisions
(Importing a new version from external source) |
(Importing a new version from external source) Tag: Manual revert |
| (One intermediate revision by the same user not shown) | |
(No difference)
| |
Latest revision as of 21:59, 27 April 2026
Gradient descent is a first-order iterative optimisation algorithm for finding a local minimum of a differentiable function. It is the foundation of nearly all modern machine-learning training procedures, from simple linear regression to billion-parameter deep neural networks.