Increasing the number of epochs to reach the performance goal

Question

Hello, I am training the neural network with input vector of 85*650 and target vector of 26*650. Here is the list of parameters that I have used   net.trainParam.max_fail = 6; net.trainParam.min_grad=1e-5; net.trainParam.show=10; net.trainParam.lr=0.9; net.trainParam.epochs=13500; net.trainParam.goal=0.001; Number of hidden nodes=76 As you can see ,I have set the number of epochs to 13500. Is it OK to set the number of epochs to such a large number?. Performance goal is not reaching if the number of epochs is decreased and I am getting a bad classification while testing.

Kshitij Singh · Accepted Answer

[ I N ] = size(input) % [ 85 130 ] [ O N ] = size(output) % [ 26 130 ] Ntrn = N - 2*round(0.15*N)% 90 Ntrneq = Ntrn*O % 2340 training equations %Nw = (I+1)*H+(H_1)*O % unknown weights % Ntrneq >> Nw, or equivalently, H << Hub where Hub = -1+ceil((Ntrneq-O) / (I+O+1)) % 20 Try to minimize I and H while using as many defaults as possible. I don't remember ever having to incease the default numepochs.

Increasing the number of epochs to reach the performance goal

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