Machine Learning, Deep Learning, Algorithms, Loss Function, Optimization.
same estimate of the parameters θas does minimizing the mean squared error. The two criteria have different values but the same location of the optimum. This justifies the use of the MSE as a maximum likelihood estimation procedure. Cross-Entropy Loss (or Log Loss): Cross entropy measures the