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Fast Inference in Capsule Networks Using Accumulated Routing Coefficients
Afterward, the routing coefficients associated with the training examples are accumulated offline and used to create a set of "master" routing coefficients.
Capsule Networks with Max-Min Normalization
Capsule Networks (CapsNet) use the Softmax function to convert the logits of the routing coefficients into a set of normalized values that signify the assignment probabilities between capsules in adjacent layers.
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