: Typically, you apply dropout after the activation function of hidden layers.
: For the best results, combine dropout with techniques like Max-Norm Regularization and decaying learning rates. DropOut-0.5.9a-pc.zip
: It is most effective in large, complex networks where the risk of overfitting is high. : Typically, you apply dropout after the activation