Practices of manual search, grid search, or the combination of both have been successfully employed in the machine learning to optimize hyper-parameters. However, in the arena of deep learning, both approaches might become impractical. For instance, the computing cost of grid search for hyper-parameters in a multi-layer deep neural network (DNN) could be prohibitively high. …