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If the training error is very small but the validation error is large during training, what is the most appropriate course of action?
①Increase the learning rate
②Randomize the labels of the training data.
③Reduce model complexity or increase regularization.
④Reduce the batch size.
⑤Change the loss function to speed up convergence.