Dropout

Will randomly turn on and off nodes in each layer (with some specified probability) each epoch during the feedforward and backpropagation, that means that the node that was disabled will not contribute to the prediction and will neither get the weighst updated during backpropagation, this will help the model generalize better and increase accuracy on…