📕 subnode [[@KGBicheno/translational_invariance]] in 📚 node [[translational_invariance]]

translational invariance

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#image

In an image classification problem, an algorithm's ability to successfully classify images even when the position of objects within the image changes. For example, the algorithm can still identify a dog, whether it is in the center of the frame or at the left end of the frame.

See also size invariance and rotational invariance.

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