A developer asks what an activation function contributes to a multilayer neural network. Which explanation is correct?

1. It introduces nonlinear transformations that help represent complex relationships
2. It guarantees the network will never overfit
3. It automatically supplies missing training labels
4. It encrypts each model weight for transport