I am reading the excellent Hands-on Machine Learning with Scikit-Learn and TensorFlow and in chapter 10, the author says:
"For the output layer, the softmax activation function is generally a good choice for classification tasks (when the classes are mutually exclusive). For regression tasks, you can simply use no activation function at all."
All classification problems I can think of (binary classification, image classification, etc) generate mutually exclusive classes.
Can someone give me a few examples of non-mutual exclusive classification problems?