Geoffrey Hinton (Google) (Aug 2015)
Convolutional neural networks (CNNs) lose positional information, hindering complex recognition tasks, while capsule networks retain it, enabling efficient object recognition and understanding. Capsule networks learn the 3D structure of objects, allowing for viewpoint generalization and reconstruction.









