AI models
LRCN
Parameters
142.6M
Published
Nov 7, 2014
LRCN is an AI model developed by UT Austin, University of Massachusetts Lowell and University of California (UC) Berkeley (United States), first published in November 2014. It works in the video domain, on tasks such as video description.
Epoch AI has no training-compute estimate for this model. The model has 142,552,000 parameters. It was trained on roughly 400K datapoints.
The reference paper has 6,380 citations.
Full record
- Organization
- UT Austin, University of Massachusetts Lowell, University of California (UC) Berkeley
- Country of organization
- United States
- Domain
- Video
- Task
- Video description
- Parameters
- 142,552,000
- Dataset size
- 400K
- Numerical format
- FP32
- Citations
- 6,380
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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