When building neural networks with the toolbox, in the display I have a performance parameter, lower the better since it is the Mean Squared Error (MSE).
My problem is with the gradient parameter, i think it is associate to the MSE and what is a good value for it? if I got a gradient of 0.03, should I increase the number of epochs in order to make it lower?
I would appreciate some suggestion on this part. Should I be happy with my model only looking to the MSE/R2 ou should the decision also include the gradient paramter?