AI models
Wide Residual Network
Published
Sep 19, 2016
Wide Residual Network is an AI model developed by Université Paris-Est (France), first published in September 2016. 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 1.3M datapoints.
The reference paper has 8,849 citations.
Full record
- Organization
- Université Paris-Est
- Country of organization
- France
- Domain
- Vision
- Task
- Image classification
- Dataset size
- 1.3M
- Numerical format
- FP32
- Citations
- 8,849
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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