We provided aid to the deep learning programmers to quantify uncertainty in the model hyperparameters and help them to make informed decision while initializing hyperparameters. We have leveraged a first order type Uncertain to represent the uncertainty in the random hyperparameters and choose the best value by performing statistical tests on the distribution.