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Which of the following most accurately describes the role that backpropagation plays in a neural network?
①A method that propagates the output error backward to compute and update the gradient of each weight.
②A method for augmenting training data by increasing input data.
③A type of activation function that performs a nonlinear transformation.
④Techniques for making models lightweight by omitting parts of their structure.
⑤An algorithm that automatically adjusts hyperparameters such as the learning rate.