to put in a regularizer which means it's to penalize the variables within our weights right but with an autoencoder the spa's auto encoder uses a regularizer but it regularizes the activation functions before getting into the hidden layer as well as here that is to say that you could have an architecture of any type however some of the activation functions are not being initialized that means they not all of the inputs would have been necessarily used so if you experiencing if you build your auto encoder and you