googlenet-use-to-classify-images

%loading the pre-trained googlenet model for image classification
net = googlenet;
%image to be classified must be of inputsize, that is first layer of the %neural network, googlenet
inputSize = net.Layers(1).InputSize;
I = imread('dog.jpg');
I = imresize(I,inputSize(1:2));
[label,scores] = classify(net,I);
figure
imshow(I)
%last layer gives us the number of classes the googlenet model has
classNames = net.Layers(end).ClassNames;
% line below will display the percentage of probability for the image to be in % the same class
title(string(label) + ", " + num2str(100*scores(classNames == label),3) + "%");