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"Deep features" are complex data representations automatically extracted by (DNNs). Unlike traditional "handcrafted" features that require manual design, deep features are learned directly from raw data.

Typically contains thousands of facial images collected from sources like Kaggle and academic repositories.

Researchers apply algorithms like TRFIRF (Iterative RelieF) to these datasets to select the most relevant deep features, improving model speed and precision. 🛠️ Related Technologies