AI models
DBN for NLP
Parameters
1M
Published
Feb 11, 2014
DBN for NLP is an AI model developed by Microsoft and University of Toronto (United States and Canada), first published in February 2014. It works in the language domain, on tasks such as text classification.
Epoch AI has no training-compute estimate for this model. The model has 1,021,535 parameters. It was trained on roughly 27K datapoints.
The reference paper has 445 citations.
Full record
- Organization
- Microsoft, University of Toronto
- Country of organization
- United States, Canada
- Domain
- Language
- Task
- Text classification
- Parameters
- 1,021,535
- Dataset size
- 27K
- Citations
- 445
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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