What is the correct order of backpropagation using gradient descent?

Repeat until find the optimal parameters of the neural network

Initialize with random bias and weight

Calculate the contribution of each neuron to the error, update the parameters

Calculate the error of the output: different between actual and estimated values

Pass input to the neural network and get output values