AI models
SOM-CNN
Training compute
3.1×10¹⁰ FLOP
Parameters
32K
Published
Jan 31, 1997
SOM-CNN is an AI model, first published in January 1997. It works in the vision domain, on tasks such as face recognition.
Training it took an estimated 3.1×10¹⁰ FLOP of compute (estimation method: operation counting). The model has 32,015 parameters. It was trained on roughly 129K datapoints.
Epoch AI rates the confidence of this record as confident.
Full record
- Domain
- Vision
- Task
- Face recognition
- Training compute
- 3.1×10¹⁰ FLOP
- Compute estimation method
- Operation counting
- Parameters
- 32,015
- Dataset size
- 129K
- Epoch confidence
- Confident
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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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