Machine Learning, Deep Learning, Algorithms, Loss Function, Optimization.
observation (y= 1). As the predicted probability approaches 1, log loss slowly decreases. As the predicted probability decreases, however, the log loss increases rapidly. Log loss penalizes both types of errors, but especially those predictions that are confident and wrong! Multi-class