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One network predicts a car's position 1 second ahead and another 10 seconds ahead. Which prediction needs stronger regularisation, and can regularisation be avoided?

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An autonomous driving system has a neural network that predicts a car's position 1 second ahead and another prediction 10 seconds ahead. Which prediction needs stronger regularisation? Is there a way to avoid using regularisation?

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