I currently have a trained system with a Softmax as the activation function, which returns a vector of probabilities of each class, all together suming 1 (example: [0.6. 0.1, 0.15, 0.05, 0.1])
I was using this model to perform a multi class classification, but i’d like to try it with a multi label approach, and i was wondering if exists any activation function that returns a number of the probability of each class being correct, independently of the others (not suming 1 necessarily. example: [0.8, 0.2, 0.1, 0.7, 0.15])
Many thanks