What is Dropout?

Dropout refers to randomly turning off hidden units so that a smaller network is trained on a given pass

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What is Overfitting?

Overfitting occurs when a model fails to perform at a similar level of accuracy on data that was not used in the training process compared to data that it was explicitly built on.

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