Arrange the chronology of the following steps in order to get the optimized weight parameters while training a Neural Network model using a Gradient Descent algorithm.

Calculate the error between the actual value and the predicted value

Reiterate until you find the best weights for the network

Pass an input through the network and get values from the output layer

Initialize random weights and bias

Go to each neuron that contributes to the error and update the weights to reduce the error