The Power of Hierarchical Learning
Layer 1: Low-Level Features
Edges, corners, simple patterns, basic textures
Layer 2: Mid-Level Features
Shapes, textures, parts of objects
Layer 3: High-Level Features
Object parts, complex patterns, semantic features
Layer 4: Abstract Concepts
Full objects, scenes, abstract representations
Key Insight: Deep networks learn a hierarchy of increasingly complex features, mimicking how our brain processes information!
Feature Evolution Through Layers
CAT
DOG