Which of the following statements is most accurate about the learning process in a feedforward neural network that is trained using backpropagation?

1. AHidden layer weights remain constant during training to maintain stability.
2. BThe output layer weights are updated randomly to prevent overfitting.
3. CWeight updates depend only on the current input vector.
4. DError gradients are propagated backward layer by layer to adjust weights.