How to display weight distribution in hidden layers of neural network?

I have 8 inputs in the input layer.Now i want to display weight distribution of these 8 inputs in hidden layer to observe the importance of features.To make it more clear example is shown in figure ( https://pasteboard.co/GKCpA6Q.png ).I used `plotwb` function of Matlab it didn't display the weights of every input.

Actually i want to look at weights(weights connecting inputs to first hidden layer) . Larger the weight is, the more important the input.

Answer 1

[Greg Heath]

That will not work. It does not account for the correlations between inputs.

The best way to rank correlated inputs is

 1. Use NO HIDDEN LAYERS !
 2. Run 10 or more trials each (different random initial weights) 
   using
   a. A single input
   b. All inputs except the one in a.

Hope this helps.

Thank you for formally accepting my answer

Greg