Dropout - rugbyprof/5443-Data-Mining GitHub Wiki

What is a Dropout?

Dropout is a regularization technique for reducing overfitting in neural networks by preventing complex co-adaptations on training data. It is a very efficient way of performing model averaging with neural networks. The term "dropout" refers to dropping out units (both hidden and visible) in a neural network.

Reference: https://en.wikipedia.org/wiki/Dropout_(neural_networks)