How to get in AlexNet multiple image labels, with their corresponding probability

So, I am doing my Master's Thesis on the influence of super-resolution algorithms on the accuracy rate of image labeling by AlexNet. The problem is that, by using

[label, scores] = classify(net, 'image')

I only get one label, whereas I would like to get multiple labels, e.g., five, and their corresponding scores by AlexNet.

I do not know how to do it and would really be very thankful if anyone could give me, at least, a hint.

Thank you very much in advance :)

Answer 1

[Arnav Mendiratta]

I see that you got your answer from Stack Overflow community. All the best for your Master's thesis!