AI models
PNAS-net
Parameters
86M
Published
Dec 2, 2017
PNAS-net is an AI model developed by Johns Hopkins University, Google AI and Stanford University (United States), first published in December 2017. It works in the vision domain, on tasks such as image classification.
Epoch AI has no training-compute estimate for this model. The model has 86,000,000 parameters. It was trained on roughly 45K datapoints.
The reference paper has 2,140 citations.
Full record
- Organization
- Johns Hopkins University, Google AI, Stanford University
- Country of organization
- United States
- Domain
- Vision
- Task
- Image classification
- Parameters
- 86,000,000
- Dataset size
- 45K
- Citations
- 2,140
More from Johns Hopkins University,Google AI,Stanford University
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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