MATLAB: Help in normalization minmax Deep Learning Toolboxneural network Hi guys, I'm new to Matlab and Neural Network. Let's say i have 3 inputs and an output array. I want to normalize each column individually. Can i use mapminmax? Does it normalize by row or by column? Best Answer 1. There is no need to explicitly use mapminmax on NNET inputs or outputs. It is a default.2. It works on the rows of a matrix. Therefore, all you have to do is transpose.Hope this helps.Thank you for formally accepting my answerGreg Related SolutionsMATLAB: How to train a feedfordward neural network with error weights Use the command window help mse doc mseHope this helps.Thank you for formally accepting my answerGreg MATLAB: MultiLayer Neural Network with inputs forwarded to each Layer You can do this by code in the following way:trainFcn = 'trainlm'; % Levenberg-Marquardt backpropagation. hiddenLayerSize = repmat(10,1,10); net = fitnet(hiddenLayerSize,trainFcn); net.inputConnect=true(11,1); view(net) Related QuestionHow to create a neural network with 1 layer only (no hidden layers)Normalization for neural networkHow to test a trained network with new dataNormalized CorrelationCan patternnet have no hidden layersHow to testing a normalized trained fitnet
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