Translations:Neural Networks/17/en: Difference between revisions

Revision as of 22:01, 27 April 2026

Information about message (contribute)

This message has no documentation. If you know where or how this message is used, you can help other translators by adding documentation to this message.

Message definition (Neural Networks)

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:

The activation function introduces nonlinearity; without it, a multi-layer network would collapse to a single linear transformation. Common choices include:

Revision as of 19:42, 27 April 2026 (view source) FuzzyBot (talk \| contribs) (Importing a new version from external source) ← Older edit		Revision as of 22:01, 27 April 2026 (view source) FuzzyBot (talk \| contribs) (Importing a new version from external source) Tag: Manual revert Newer edit →
Line 1:		Line 1:
	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:		The activation function introduces nonlinearity; without it, a multi-layer network would collapse to a single linear transformation. Common choices include: