What changed
Combined parallel convolution/pooling branches and1×1channel-reduction projections in repeated Inception modules, balancing network width/depth and computation in GoogLeNet.
Scientific scope
Combined parallel convolution/pooling branches and1×1channel-reduction projections in repeated Inception modules, balancing network width/depth and computation in GoogLeNet. Distinct from formal Inception-v3's later factorization/regularization refinements. Inherits NetworkInNetwork1×1convolutions and prior multi-scale reasoning; source explicitly treats its sparse/Hebbian design motivation as unverified, not a proved automatic optimal architecture.22layer entry and ensemble gains are benchmark/protocol specific.
Evidence
The linked original sources describe the stated contribution and its evidence limits. WRS has not independently rerun the experiments or certified a proof. Distinct from formal Inception-v3's later factorization/regularization refinements. Inherits NetworkInNetwork1×1convolutions and prior multi-scale reasoning; source explicitly treats its sparse/Hebbian design motivation as unverified, not a proved automatic optimal architecture.22layer entry and ensemble gains are benchmark/protocol specific.
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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