deep network designer, how do I test a trained network against a new dataset? I am able to see the predictions for all the images?

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So first of all I am not a computer scientist, just starting to use MatLab.
I have tried deep network designer to classify between 3 classes. Saved the script, the results etc. Now I want to use this trained network on a new dataset and also I really need to see the results for each imagine in the dataset. Is this possible and is anyone able to help?
Thanks a lot

Answers (1)

David Willingham
David Willingham on 13 May 2022
Hi Andreea,
Firstly, glad to hear your starting your journey of deep learning in MATLAB!
Your code will likely look like this:
imds = imageDatastore('MyImageFolder', ...
'IncludeSubfolders',true, ...
[YPred,scores] = classify(mytrainedNet,imds);
idx = randperm(numel(imds.Files),4);
for i = 1:4
I = readimage(imds,idx(i));
label = YPred(idx(i));
I would also recommend studying this example. It shows the suggested workflow for performing transfer learning :

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