Question: 1 2 1 point How is the loss function used in the context of backpropagation? It calculates the prediction error to adjust the network's weights
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How is the loss function used in the context of backpropagation?
It calculates the prediction error to adjust the network's weights and minimize the error.
It is used to increase the error for better generalization.
It decides when to stop the training process once a certain accuracy level is reached.
It determines the type of activation function to be used in the next iteration.
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