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Optimized Single-layer Net

Published
Apr 11, 2011

Optimized Single-layer Net is an AI model developed by University of Michigan and Stanford University (United States), first published in April 2011. It works in the vision domain, on tasks such as image classification.

Epoch AI has no training-compute estimate for this model. It was trained on roughly 50K datapoints.

The reference paper has 4,240 citations.

Full record
Organization
University of Michigan, Stanford University
Country of organization
United States
Domain
Vision
Task
Image classification
Dataset size
50K
Citations
4,240
SourceEpoch AI, 'AI Models'. Published online at epoch.ai. Retrieved 2026-07-29 from https://epoch.ai/data/ai-models. Licensed under CC BY 4.0.
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