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Describe at least two reasonable stopping criteria that can be used when training a neural network. Stop after some fixed number of iterations. Stop when the sum-of-squares error on the training data is less than some constant. Stop when the derivatives all become within some ε of zero. Split the data into training data and test data, and stop when the error on the test data increases.

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