MATLAB: Very high ratio of the Targets / inputs

Deep Learning Toolboxgradientmapminmaxneural networkratio

Hi All
I have to design a neural network (fitting ) with one input and 7 outputs , that the order of 100 and the outputs in the order of 1e+8 , the Gradient is too big , something like 1e+5 , so the validation stops so early which training method should I use ? or what modification should I apply on the network ? if the solution is mapminmax , how should I roll back to the real quantities of the output as the target was ?

Best Answer

I usually standardize inputs and outputs using ZSCORE (zero mean, unit variance) before training.
Hope this helps.
Thank you for formally accepting my answer
Greg
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