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The output feature maps from the network are then compared to each other through a distance-measuring metric and gives a similarity score (0 meaning the two images are exactly the same, and 1 means that they are rather different images) Image augmentation While we are working with only one image per class, we want to see if we can get as much robustness from this model as we possibly can

This deck was first shared on 2025-01-24 and was last updated on 2025-09-27