ImageNet and labels for data – AI in Media and Society

Supervised learning is a type of machine learning in which a model is trained using labeled data. You begin with a very large collection of labeled data. For the Iris Data Set, the data all refer to individual iris flowers, which can be divided into three related species. For the MNIST dataset, the data are images of about 70,000 handwritten numbers, 0 through 9.) You divide the dataset into two parts, the training data and the test data. The split might be 30/70, or 40/60.