Dropout: A Simple Way to Prevent Neural Networks from Overfitting
At a glance
Dropout reduces memorization by switching off parts of a neural network during training.
In one paragraph
Introduced dropout, randomly switching off parts of a neural network during training to reduce memorization and help it perform better on examples it has not seen.
