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AlphaKernel1I have implemented an ANN with 2 hidden layers, activation PRelU. I have saved my model in an hdf5 file and am trying to interpret the results from model.save (kernel, bias, and alpha)... I can see the tables, heatmap, and charts of these. Now, how do I interpret them and understand which nodes are useful, do I need to change the bias etc.?

Tried reading many online resources, but haven't found anything very useful on what my next steps should be.[![Kernel[Kernel1BiasAlpha

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  • $\begingroup$ To be clear, its a regression problem I am trying to solve... $\endgroup$
    – Vin
    Commented Aug 21 at 6:15

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