Conv-DBN

Published

Jun 14, 2009

Conv-DBN is an AI model developed by Stanford University (United States), first published in June 2009. It works in the vision domain, on tasks such as image classification.

Epoch AI has no training-compute estimate for this model.

The reference paper has 2,964 citations.

Full record

Organization: Stanford University
Country of organization: United States
Domain: Vision
Task: Image classification
Citations: 2,964