How to Classify New Dataset using Two trained models

Question

hammad younas 2022-1-28

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此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/1637940-how-to-classify-new-dataset-using-two-trained-models

评论： David Willingham 2022-6-3

I have trained two models on a dataset

I want to Classify new data using the both the trained model. But Classify take one trained network. How can i do that?

Resnet50.mat
Resnet18.mat
rxTestPred = classify(resnet.trainedNet,rxTestFrames);
testAccuracy = mean(rxTestPred == rxTestLabels);
disp("Test accuracy: " + testAccuracy*100 + "%")

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KSSV 2022-1-28

Question is not clear. What problem you have in using the trained model ofr new data?

hammad younas 2022-1-28

@KSSV I want to Classify rxTestFrames using Two trained Model one is Resnet18 and other is Resnet50

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Answer 1

yanqi liu 2022-2-8

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链接

此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/1637940-how-to-classify-new-dataset-using-two-trained-models#answer_890975

在 MATLAB Online 中打开

yes，sir，may be use different load variable，such as

net1 = load('Resnet50.mat')
net2 = load('Resnet18.mat')
rxTestPred = classify(net1.resnet.trainedNet,rxTestFrames);
testAccuracy = mean(rxTestPred == rxTestLabels);
disp("Resnet50 Test accuracy: " + testAccuracy*100 + "%")
rxTestPred = classify(net2.resnet.trainedNet,rxTestFrames);
testAccuracy = mean(rxTestPred == rxTestLabels);
disp("Resnet18 Test accuracy: " + testAccuracy*100 + "%")

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Nagwa megahed 2022-6-2

please i ask if you reach to how implement ensemble learning in matlab ?? as i need to perform ensemble learning between more than three different networks

David Willingham 2022-6-3