A team is building an image recognition system that automatically identifies defective parts on a manufacturing line. Their approach uses a model with many layers of interconnected nodes that automatically learn hierarchical features (edges, then shapes, then whole objects) directly from raw pixel data, without engineers manually specifying which features to extract. Which subfield of AI/ML does this approach best describe?