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

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回答： Greg Heath 2017-9-17
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.

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回答（1 个）

Greg Heath
Greg Heath 2017-9-17
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

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