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요약
Deep learning is a subset of machine learning that mimics human brain function using artificial neural networks. It learns from vast amounts of unstructured data, identifying patterns for tasks like recognition and translation. Unlike traditional machine learning, deep learning requires minimal human intervention and processes large datasets, making it computationally intensive yet powerful.