Recursive Neural Network

Published

Jun 28, 2011

Recursive Neural Network is an AI model developed by Stanford University (United States), first published in June 2011. It works in the vision and language domain, on tasks such as representation learning.

Epoch AI has no training-compute estimate for this model. It was trained on roughly 573.3K datapoints.

Epoch AI rates the confidence of this record as confident.

Full record

Organization: Stanford University
Country of organization: United States
Domain: Vision, Language
Task: Representation learning
Dataset size: 573.3K
Epoch confidence: Confident