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Clockwork RNN (CW-RNN)

Parameters
10K
Published
Feb 14, 2014

Clockwork RNN (CW-RNN) is an AI model developed by IDSIA and SUPSI (Switzerland), first published in February 2014. It works in the speech domain, on tasks such as audio classification.

Epoch AI has no training-compute estimate for this model. The model has 10,000 parameters.

Access: Unreleased. Its weights are not openly released. Epoch AI rates the confidence of this record as confident.

Full record
Organization
IDSIA, SUPSI
Country of organization
Switzerland
Domain
Speech
Task
Audio classification
Parameters
10,000
Model accessibility
Unreleased
Open weights
No
Epoch confidence
Confident
More from IDSIA,SUPSI
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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