1. A method for training a learning machine comprising a deep network including a plurality of layers, the method comprising the steps of: applying a regularizer to one or more of the layers of the deep network in a first computer process; training the regularizer with unlabeled data in a second computer process; and training the deep network with labeled data in a third computer process; wherein the regularizer comprises a layer separate from the one or more layers of the network.