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Which is the most appropriate when comparing from the perspective of training time and computational resources?
①Deep learning can always be learned in a short time.
②Traditional machine learning won't run without a GPU.
③A low-spec CPU alone is sufficient for deep learning.
④Deep learning often involves large models and requires substantial computational resources for training.
⑤Traditional machine learning has always required distributed training.