Machine Learning, Cost Function, Convex Optimization.
loss function. MSE is the sum of squared distances between our target variable and predicted values. -)Crossentropy: also known as log loss, measures the performance of a classification model whose output is a probability value between 0 and 1. Cross-entropy loss increases as the predicted