AWS Certification Exam AI Practitioner (Practice Questions) set5

問題 52 / 65

Which is the most appropriate when comparing from the perspective of training time and computational resources?

Deep learning can always be learned in a short time.
Traditional machine learning won't run without a GPU.
A low-spec CPU alone is sufficient for deep learning.
Deep learning often involves large models and requires substantial computational resources for training.
Traditional machine learning has always required distributed training.

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