AWhat changed
A large convolutional network trained with GPUs demonstrated strong large-scale image classification, using architectural and training choices that made deep learning practical at this scale.
Scientific scope
A large convolutional network trained with GPUs demonstrated strong large-scale image classification, using architectural and training choices that made deep learning practical at this scale. Scope limitation: This is a human-developed method with benchmark evidence, not an autonomous scientific discovery. The proceedings landing abstract and PDF differ in numerical details; this entry uses the PDF and avoids mixing their reported scores.
Evidence
Assessment uses the catalogue-linked source evidence for the stated contribution. This is a human-developed method with benchmark evidence, not an autonomous scientific discovery. The proceedings landing abstract and PDF differ in numerical details; this entry uses the PDF and avoids mixing their reported scores.
Contributors
- Alex Krizhevsky · SCIENCE: Named source contributor; exact labor shares are not measured.
- Ilya Sutskever · SCIENCE: Named source contributor; exact labor shares are not measured.
- Geoffrey E. Hinton · SCIENCE: Named source contributor; exact labor shares are not measured.
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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