AI models
LaNet-L (CIFAR-10)
Parameters
44.1M
Published
Jun 17, 2019
LaNet-L (CIFAR-10) is an AI model developed by Brown University and Facebook (United States), first published in June 2019. It works in the vision domain, on tasks such as image classification and neural architecture search - nas.
Epoch AI has no training-compute estimate for this model. The model has 44,100,000 parameters. It was trained on roughly 60K datapoints.
Access: Open weights (non-commercial). Its weights are openly available. The reference paper has 48 citations. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- Brown University, Facebook
- Country of organization
- United States
- Domain
- Vision
- Task
- Image classification, Neural Architecture Search - NAS
- Parameters
- 44,100,000
- Dataset size
- 60K
- Chip-hours
- 3.6K
- Numerical format
- FP16
- Model accessibility
- Open weights (non-commercial)
- Open weights
- Yes
- Citations
- 48
- Epoch confidence
- Confident
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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