AI models
Empirical evaluation of deep architectures
Published
Jun 1, 2007
Empirical evaluation of deep architectures is an AI model developed by University of Montreal / Université de Montréal (Canada), first published in June 2007. It works in the other domain, on tasks such as image classification.
Epoch AI has no training-compute estimate for this model. It was trained on roughly 50K datapoints.
The reference paper has 1,185 citations.
Full record
- Organization
- University of Montreal / Université de Montréal
- Country of organization
- Canada
- Domain
- Other
- Task
- Image classification
- Dataset size
- 50K
- Citations
- 1,185
More from University of Montreal / Université de Montréal
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.
← All ai models