Machine Learning, Deep Learning, Mathematics, Data Science, Neural Networks.
Multiclass classification is appropriate when we need our model to predict one possible class output every time. Now since we are still dealing with probabilities it might make sense to just apply sigmoid to all the output nodes so that we get values between 0–1 for all the outputs, but there is an