Training CNN on training set with different numbers of images in the training set
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Andrea Giometto
le 18 Mar 2021
Réponse apportée : Srivardhan Gadila
le 23 Mar 2021
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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