Gated Residual and Variable Selection Networks for regression

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I came across this Keras tutorial which is for a classification problem, but I'm trying to apply it to a regression one. Does anyone know why they change the dimension of the features? Has anybody used this for regression at all?

Also any link to a related tutorial would be appreciated.

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