Creating a map between N images and N labels using CNN

I have seen classification CNNs that train with numerous images for a subset of labels (i.e. Number of images Number of labels), however, is it still possible to use CNNs when the number of images = Number of labels?

specifically consider: having N settings that you can control to generate a unique image. Is it possible to make a CNN that can describe the mapping? (Is CNN the right architecture to use?)

Topic cnn theory image-classification machine-learning

Category Data Science


If you have single training data for each image (Number of image = Number of labels), no architecture is a good architecture. All good image models are deep learning model and are data hungry. If you have just a single image for each level it will not be able to learn anything

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