Capsnet - What is the difference between CNN and CapsNet?

In order to provide a more complete picture, CapsNet uses vectors instead of scalars, which is the main difference between it and the traditional CNN. When looking into the operational procedures of both paradigms, this distinction becomes clear. Convolutional neural networks (CNNs) work by multiplying the input scalars by their weights.