RBM Image Classifier

Parameters

80M

Published

Apr 8, 2009

RBM Image Classifier is an AI model developed by University of Toronto (Canada), first published in April 2009. It works in the vision domain, on tasks such as image classification.

Epoch AI has no training-compute estimate for this model. The model has 80,000,000 parameters. It was trained on roughly 6.1B datapoints.

The reference paper has 39,635 citations. Epoch AI rates the confidence of this record as likely.

Full record

Organization: University of Toronto
Country of organization: Canada
Domain: Vision
Task: Image classification
Parameters: 80,000,000
Dataset size: 6.1B
Numerical format: FP32
Citations: 39,635
Epoch confidence: Likely