During neural-network training, the system computes gradients of a loss with respect to model parameters. What is the role of backpropagation?

1. Assign every parameter the same constant permanently
2. Replace all input data with the final predictions
3. Propagate derivative information through the network to support parameter updates
4. Guarantee that every prediction is factually correct