AI models
Greedy layer-wise DNN training
Published
Dec 4, 2006
Greedy layer-wise DNN training is an AI model developed by University of Montreal / Université de Montréal (Canada), first published in December 2006. It works in the other domain, on tasks such as image classification and regression.
Epoch AI has no training-compute estimate for this model. It was trained on roughly 107.1M datapoints.
The reference paper has 5,605 citations.
Full record
- Organization
- University of Montreal / Université de Montréal
- Country of organization
- Canada
- Domain
- Other
- Task
- Image classification, Regression
- Dataset size
- 107.1M
- Citations
- 5,605
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.
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