AI models
RNN (SGD+CLR)
Parameters
195.6K
Published
Dec 14, 2012
RNN (SGD+CLR) is an AI model developed by University of Montreal / Université de Montréal (Canada), first published in December 2012. It works in the audio domain, on tasks such as language modeling and audio generation.
Epoch AI has no training-compute estimate for this model. The model has 195,600 parameters.
The reference paper has 647 citations. Epoch AI rates the confidence of this record as speculative.
Full record
- Organization
- University of Montreal / Université de Montréal
- Country of organization
- Canada
- Domain
- Audio
- Task
- Language modeling, Audio generation
- Parameters
- 195,600
- Citations
- 647
- Epoch confidence
- Speculative
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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