NASNet-A is an AI model developed by Google Brain (United States), first published in July 2017. 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 89,000,000 parameters. It was trained on roughly 1.3M datapoints.
The reference paper has 6,151 citations.