Learning hierarchical Representations OW. Mid level let High-level Trainable features classifier output features features Increasing level of abstraction Hierarchy of representations with increasing level of abstraction. Each stage is a kind of trainable nonlinear feature transform ° mage recognition Pⅸel→edge→ texton→ motif→part→ object Text Character→Word→ word group→ clause→ sentence→ storyLearning Hierarchical Representations • Hierarchy of representations with increasing level of abstraction. Each stage is a kind of trainable nonlinear feature transform • Image recognition – Pixel → edge → texton → motif → part → object • Text – Character → word → word group → clause → sentence → story Low￾level features output Mid￾level features High-level features Trainable classifier Increasing level of abstraction