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The length of vector in the CapsNet paper represents the Euclidean norm, which a.k.a Euclidean distance of vector, in TensorFlow, you can simply call tf.norm to calculate the length of vector.
The length of vector represents the probability of existence of a given entity/object/object-part. Vector length is simply the magnitude of the vector (vector-norm).
How to determine the vector length and can anybody explaine to me about what it represent?
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