MATLAB: Neural Networks – train function Deep Learning Toolboxneural networks for code: [net tr Y T] = train(net, x, t) what are Y and T (i've checked help train / doc train and can't find an answer) Best Answer [net tr Y E Xf Af] = train(net, x, t, Xi, Ai)tr -training historyY - OutputE - Error (t-Y)Xf - Final input delay matrixAf - Final layer delay matrixThanks for formally accepting my answerGreg Related SolutionsMATLAB: I need to know the data used for training, validation and test in neural network [ net tr y e ] = train(net, x, t); % y = net(x); e = t-y: tr = tr % The training record will reveal the training informationHope this helps.Thank you for formally accepting my answerGreg MATLAB: 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 Related QuestionHow to plot MSE for train and testNormalize Inputs and Targets of neural networkI adapt neural network instead of train. Any one knows how I can see which stopping criteria causes to stop the network ? (nntraintool command does not work!)Neural network with multiple inputs and single output – How to improve the performance of neural networkWhat are the extra return values of this Neural Network training codeMAPE for out-of-sample in neural networkHow to time series forecasting with the trained neural network
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