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Capsule Neural Network - Why Capsule Network is better than CNN?


The main difference between a regular Convolutional Neural Network (CNN) and a Capsule Network (CapsNet) is that the former uses vectors for a more complete representation while the latter uses scalars. When we compare how the two models work, this distinction becomes clear. Convolutional neural networks (CNNs) work by multiplying input scalars with their weights.