SCRN (Structurally Constrained Recurrent Network)

Parameters

26.5M

Published

Dec 24, 2014

SCRN (Structurally Constrained Recurrent Network) is an AI model developed by Facebook AI Research (United States and France), first published in December 2014. 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 26,500,000 parameters.

Access: Unreleased. Its weights are not openly released. The reference paper has 306 citations.

Full record

Organization: Facebook AI Research
Country of organization: United States, France
Domain: Language
Task: Language modeling
Parameters: 26,500,000
Model accessibility: Unreleased
Open weights: No
Citations: 306