Hello, Should the scaling method and the activation function of the output layer be compatible? For instance, when I scale the data using (x-xmin)/(xmax-xmin), should I necessarily use sigmoid in the output layer? so that both the target and the output have same range [0,1] hence, they can be compared. Does that make sense? What if I use normal standarization [(x-mean)/std], should I necessarily use a specific activation function? Thank you in advance.

Hi Hady, For neural networks that is not a prerequisite. Therefore, the two need not have the same natural domain. Best, Iliya

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January 06, 2020

Posted on:

January 04, 2020

Scaling & activation function

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Posted on:

January 06, 2020

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