Dropout: SVHN

Parameters

47.8M

Published

Jun 1, 2014

Dropout: SVHN is an AI model developed by University of Toronto (Canada), first published in June 2014. It works in the vision domain, on tasks such as image classification and digit recognition.

Epoch AI has no training-compute estimate for this model. The model has 47,795,232 parameters. It was trained on roughly 600K datapoints.

Access: Unreleased. Its weights are not openly released. The reference paper has 41,962 citations. Epoch AI rates the confidence of this record as confident.

Full record

Organization: University of Toronto
Country of organization: Canada
Domain: Vision
Task: Image classification, Digit recognition
Parameters: 47,795,232
Dataset size: 600K
Model accessibility: Unreleased
Open weights: No
Citations: 41,962
Epoch confidence: Confident