Changing performance function of neural network to root mean square error.
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Hello,
In neural network, how can we stop the training by telling the network to stop once the root mean square error between target values and output from the network falls below say 0.01 or 0.001 ? I am specifically asking with respect to Levenberg Marquardt algorithm, such that how can we change the performance function to rmse(root mean square error)
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