Creates a dropout layer. Dropout is a regularization technique for reducing overfitting. The technique temporarily drops units (artificial neurons) from the network, along with all of those units' incoming and outgoing connections. See https://en.wikipedia.org/wiki/Dropout_(neural_networks)