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Why does an artificial neural network use backpropagation?
It's a way for the network to go backwards and try a different machine learning algorithm.
It's a way to automatically apply bias to each of the neurons to adjust for faulty data.
It's a way for the network to go backwards and tune the weights and bias to improve accuracy.
It's a way to make sure that the network does not have any errors.
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