Which option correctly explains Gradient descent in a neural-network workflow? Select the option consistent with standard deep learning theory.

A. Gradient descent updates weights randomly without gradients B. Gradient descent is a file compression algorithm C. Gradient descent only applies to databases D. Gradient descent updates parameters in the direction that reduces loss