AWhat changed
Amplifies features selected from a trained visual network, feeding transformed outputs back with zooming to generate and inspect recurring learned patterns.
Scientific scope
Amplifies features selected from a trained visual network, feeding transformed outputs back with zooming to generate and inspect recurring learned patterns. Original 2015 technical account, not invention of activation maximization generally. Results depend on trained network and priors, with no guarantee of faithful semantic explanations or general creative intelligence.
Evidence
The linked original sources describe the stated contribution and its evidence limits. WRS has not independently rerun the experiments or certified a proof. Original 2015 technical account, not invention of activation maximization generally. Results depend on trained network and priors, with no guarantee of faithful semantic explanations or general creative intelligence.
Contributors
- Source-listed authors and technical contributors · SCIENCE: Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.
Provisional WRS assessment, edition 2026-10-16.1. Independent expert calibration is pending. This grade does not certify correctness or assign ownership.
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