Thanks for the reply.
That helps if I am expecting a single label from the model, as I have to check for the maximum of all the node outputs to label it as the positive, in my case I can accept more than one label as the output for the same input.
Also, wouldn’t it help to train the model much faster by reducing the loss if I could accept a wide range as correct rather than a single point for comparison ?