# Comstum Neural network

Hi there,

I want to make a neural network that can be as following form:

NN_new = \alpha * NN(X) + (1 - \alpha) Linear(X)

in which alpha is also being trained simultaneously as well. NN(X) is the neural network with nonlinear activation function that can predict the nonlinear part of my function and Linear (X) can be another network with linear activation function.
Any idea how I can make it in tensorflow?