Artificial Intelligence, Deep Learning, Machine Learning, Optimization.
classification problems. Cross-entropy loss increases as the predicted probability diverges from the actual label. Mathematical formulation :- Cross entropy loss Notice that when actual label is 1 (y(i) = 1), second half of function disappears whereas in case actual label is 0 (y(i) = 0) first half