training set, validation set, and test test for machine learing / deep learning

 

from: https://machinelearningmastery.com/difference-test-validation-datasets/

– Training set: A set of examples used for learning, that is to fit the parameters of the classifier.

– Validation set: A set of examples used to tune the parameters of a classifier, for example to choose the number of hidden units in a neural network.

– Test set: A set of examples used only to assess the performance of a fully-specified classifier.