📕 subnode [[@KGBicheno/translational_invariance]]
in 📚 node [[translational_invariance]]
📓
garden/KGBicheno/Artificial Intelligence/Introduction to AI/Week 3 - Introduction/Definitions/Translational_Invariance.md by @KGBicheno
translational invariance
Go back to the [[AI Glossary]]
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.
📖 stoas
- public document at doc.anagora.org/translational_invariance
- video call at meet.jit.si/translational_invariance