How do we calculate the accuracy of a multi-class classifier using neural network
Usually, we assign the class label with highest probability in the output of the soft max function as the label.
When the outputs (prediction) are the probabilities coming from a Softmax function, and the training target is one-hot type, how do we compare those two different kinds of data to calculate the accuracy? 
(the number of training data classified correctly) / (the number of the total training data) *100%