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Repeatedly withholding subsets of the data during model fitting in order to quantify the model performance on the withheld data subsets.
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votes
Understanding early stopping in neural networks and its implications when using cross-valida...
The way that you can use cross-validation to determine the optimal number of epochs to train with early stopping is this: suppose we were training for between 1 to 100 epochs. For each fold, train you …