Neural Networks, Gradient Descent.
mean giving us the Mean Squared Error Loss function (y_expected -y_output)²/N = 0 More formally and by applying indices the Loss function can be written below where yᵢ is the expected output and f(xᵢ) are the calculated one for the i-th observation, N is the total number of observations. MSE stands