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Training CNN on training set with different numbers of images in the training set

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Andrea Giometto 2021-3-18

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回答： Srivardhan Gadila 2021-3-23

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Hi, I'm doing transfer learning to train squeezenet on a database of microcopy images. I have two classes that have different numbers of images (class 1: 200, class2: 400). Is there a way in Matlab to assign lower weight to the images in class 2, so that the classification is not biased towards the most numerous class? Thank you

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Srivardhan Gadila 2021-3-23

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You can enable ClassWeights for classificationLayer or you can also use focalLossLayer.

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