Deep Boltzmann Machines

Published

Apr 16, 2009

Deep Boltzmann Machines is an AI model developed by University of Toronto (Canada), first published in April 2009. It works in the other domain, on tasks such as image classification.

Epoch AI has no training-compute estimate for this model. It was trained on roughly 60K datapoints.

The reference paper has 2,666 citations.

Full record

Organization: University of Toronto
Country of organization: Canada
Domain: Other
Task: Image classification
Dataset size: 60K
Citations: 2,666