AI models
OR-WideResNet
Parameters
18.2M
Published
Jan 7, 2017
OR-WideResNet is an AI model developed by Duke University and University of Chinese Academy of Sciences (United States and China), first published in January 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 18,200,000 parameters. It was trained on roughly 50K datapoints. Training ran on NVIDIA Tesla K80.
The reference paper has 285 citations. Epoch AI rates the confidence of this record as confident.
Full record
- Organization
- Duke University, University of Chinese Academy of Sciences
- Country of organization
- United States, China
- Domain
- Vision
- Task
- Image classification
- Parameters
- 18,200,000
- Dataset size
- 50K
- Training hardware
- NVIDIA Tesla K80
- Citations
- 285
- 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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