Definition #
Interconnected layers of nodes (neurons) that transmit and transform data.
Key Characteristics #
- Input/hidden/output layers
- Activation functions (e.g., ReLU)
- Backpropagation training
Why It Matters #
Foundation of modern AI systems like ChatGPT and self-driving cars.
Examples #
- Multilayer Perceptrons (MLPs)
- Transformers