Methods › General › Neural Architecture Search › Capsule Network
Capsule Network
Introduced by Sara Sabour et al. in Dynamic Routing Between Capsules
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
A capsule is an activation vector that basically executes on its inputs some complex internal computations. Length of these activation vectors signifies the probability of availability of a feature. Furthermore, the condition of the recognized element is encoded as the direction in which the vector is pointing. In traditional, CNN uses Max pooling for invariance activities of neurons, which is nothing except a minor change in input and the neurons of output signal will remains same.
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