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For questions related to feature learning (also known as representation learning), which is a set of techniques that can learn the features associated with the raw data. It is similar to feature engineering, but, in the case of feature learning, the features are learned and not handcrafted.

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Do all deep learning architectures learn features hierarchically?

CNNs are a famous example of hierarchical processing. Lower-level features such as edges are detected in the earlier layers while higher-level features such as the presence of a face are detected deep …