ReLU (LFW) is an AI model developed by University of Toronto (Canada), first published in June 2010. It works in the vision domain, on tasks such as face recognition.
Epoch AI has no training-compute estimate for this model. It was trained on roughly 233.3K datapoints.
The reference paper has 18,270 citations.