How do I Verify Robustness of Deep Learning Neural Network with custom data?

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SATISH SONWANE 2023-5-4

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此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/1958034-how-do-i-verify-robustness-of-deep-learning-neural-network-with-custom-data

回答： Ranjeet 2023-5-12

I want to repurpose method given here for the custom dataset. I have a folder full of greyscale images with foldernames as theire respective labels. And I have a dlnetwork pretrained and ready to be used.

From what I understand I will have to convert my dataset to usable form. The exampe given uses 'digitTest4DArrayData'. My question is how do I convert my data in the said format? Or is there any way I can use what I have and still make it work?

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Answer 1

Ranjeet 2023-5-12

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此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/1958034-how-do-i-verify-robustness-of-deep-learning-neural-network-with-custom-data#answer_1233719

verifyNetworkRobustness uses dlarray as inputs for lower and upper limits. As shown in the example, the input images have been converted to dlarray before feeding into verifyNetworkRobustness function.

Based on the type of data, different dlarray data formats are possible as mentioned in the following documentation –

https://www.mathworks.com/help/deeplearning/ref/dlarray.html#mw_e439e5de-77e9-4399-a2e8-2cc62d2ab575

It is advised to first decide on what data format is suitable, and then convert the input to dlarray.