Neural networks are computational models inspired by biological neurons.
Key concepts:
- Layers: Input, hidden, and output layers
- Weights: Connection strengths (line thickness)
- Activation: Node brightness shows activity
- Backpropagation: Learning by adjusting weights
Watch how weights change during training to minimize error.