How to “highlight” an input feature of an artificial neural network?

I’m trying to solve a binary classification problem by using an artificial neural network implemented in Torch.
My neural network has 82 input features (=neurons).

After implementing a plain version that gives to the all the 82 input neurons the same importance, I need to design a new version of my algorithm in which a user can highlight / give more importance to one single feature among all the 82.

How could I do this in statistical tems?
How could I edit my algorithm to give more importance to a single feature?


Try the wide & deep network architecture? Directly link the “important” features with the output neuron.


Source : Link , Question Author : , Answer Author : Mickey J. Shen

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