Mimk-231 English Jun 2026

In the context of deep learning, particularly in computer vision and NLP, "deep features" refer to the high-level representations of data learned by deep neural networks. These features are extracted from the deeper layers of a neural network, which typically capture more abstract and high-level information about the input data. For images, these might represent complex patterns or objects. For text, these could represent semantic or syntactic properties of the text.

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