Translations:Neural Networks/17/en: Difference between revisions
(Importing a new version from external source) |
(Importing a new version from external source) Tag: Manual revert |
||
| (2 intermediate revisions by the same user not shown) | |||
| Line 1: | Line 1: | ||
The activation function introduces nonlinearity; without it, a multi-layer network would collapse to a single linear transformation. Common choices include: | The {{Term|activation function}} introduces {{Term|activation function|nonlinearity}}; without it, a multi-layer network would collapse to a single linear transformation. Common choices include: | ||
Latest revision as of 23:34, 27 April 2026
The activation function introduces nonlinearity; without it, a multi-layer network would collapse to a single linear transformation. Common choices include: