Machine Learning, Data Science, Loss Function, Regression, Classification.
scatter plot for our data: 1. Multi-Class Cross Entropy Loss The multi-class cross-entropy loss is a generalization of the Binary Cross Entropy loss. The loss for input vector X_i and the corresponding one-hot encoded target vector Y_i is: We use the softmax function to find the probabilities p_ij: