I am trying to add MLP layer to DBN that can use final parameters of DBN model as Input for MLP model. I am new to python so am not well versed with its input and output processes. Any help is welcome.
Do you mean add Multilayer Perceptron(MLP) at the top of Deep Belief Network(DBN)?
Here is a paper has produced electricity load forecasting using Restricted Boltzman Machines (RBM) for pretraining process and the outputs from RBM used to train MLP DNN for load forecast.
A similar technique uses Support Vector Regression instead DBN SVR.