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Capsule Neural Network - What are the components of a capsule network?


A capsule network is primarily composed of two elements: an encoder and a decoder. These two elements form a total of six layers within the network. The encoder, which comprises the first three layers, is responsible for converting the input image into a 16-dimensional vector.