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feature abstraction
feature abstraction Feature abstraction is the process in a layered learning system of turning input data through successive nonlinear steps into increasingly higher-level representations.
Feature abstraction is the process in a layered learning system of turning input data through successive nonlinear steps into increasingly higher-level representations. In this hierarchy, later layers capture more discriminative and meaningful patterns than earlier layers, helping the model learn complex structure in the data.