MATLAB: How could I cancel pre-processing and post-processing stages when training a neural network

Deep Learning Toolboxdefault settingsfitnetminmaxneural networks

Whenever I use fitnet it applies minmax to my data by default, however my data is already scaled, so I was just wondering if there was a way to change this default feature.

Best Answer

To remove mapminmax as a processFcn but still keep removeconstantrows
close all, clear all, clc
% WITH DEFAULT MAPMINMAX
 [x,t] = simplefit_dataset;
 net = fitnet;
 rng(0)
 [net tr y e ] = train(net,x,t);
 NMSE1 = mse(e)/mean(var(t',1))  % 1.7558e-05
% WITHOUT DEFAULT MAPMINMAX
 [x,t] = simplefit_dataset;
 net = fitnet;
 net.inputs{1}.processFcns={'removeconstantrows'};
 net.outputs{2}.processFcns={'removeconstantrows'};
 rng(0)
 [net tr y e ] = train(net,x,t);
 NMSE2 = mse(e)/mean(var(t',1))  % 1.7241e-05
Hope this helps.
Thank you for formally accepting my answer
Greg
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