AI models
RNN (SGD+CLR) (PTB)
Parameters
2M
Published
Dec 4, 2012
RNN (SGD+CLR) (PTB) is an AI model developed by University of Montreal / Université de Montréal (Canada), first published in December 2012. It works in the language domain, on tasks such as language modeling.
Epoch AI has no training-compute estimate for this model. The model has 2,050,000 parameters.
Access: Unreleased. Its weights are not openly released. The reference paper has 665 citations.
Full record
- Organization
- University of Montreal / Université de Montréal
- Country of organization
- Canada
- Domain
- Language
- Task
- Language modeling
- Parameters
- 2,050,000
- Model accessibility
- Unreleased
- Open weights
- No
- Citations
- 665
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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