Layers
Domain: AI Fundamentals
🎯 Motivation
A neural network is built from stacked layers, each transforming the data step by step.
📋 Concrete Example
A cat classifier might have an input layer (pixels), 3 hidden layers (features), and an output layer (cat or dog).
🔗 Analogy
Like a relay race: each runner (layer) takes the baton (data), transforms it, and hands it to the next runner.