How can I get Same Results form multiple networks with same network architecture, network options and training and validation data ?
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Hi everyone
I want to train the best neural network for my data. for this porpose I compared many parameter that affect the network, for example : number of layers. but for constant layer, every time I run the code, resluts (RMSE and ...) are not same. I guess this problem related to randomness of training, such as Shuffle in training option or initializing of weights ans biases. I set Training ans Validation data manually with out any changing and added this commands to my code :
option = trainingOptions('Shuffle','never');
but it didn't give same RMSE. what should I do ?
best regards
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