I want to know that data normalization that is required whether it must be applied to whole part of training set both input and output or input segment is enough.
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Whether you should normalize output depends on the type of neurons you use in your neural network and what type of output you expect. Find out the range of possible outputs for the given type of cell, and check that your target outputs falls within this range. If not, you will need to normalize.
The ‘standard’ neural network uses the sigmoid function which outputs a value between 0 and 1, so if the desired output doesn’t fall in this range, you’ll need to normalize.