December 2019
Intermediate to advanced
468 pages
14h 28m
English
Content preview from Advanced Deep Learning with Python
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Capsules
The output of a capsule is a vector, compared to the output of a neuron, which is a scalar value. The capsule output vector carries the following meaning:
- The elements of the vector represent the pose and other properties of the object.
- The length of the vector is in the (0, 1) range and represents the probability of detecting the feature at that location. As a reminder, the length of a vector is
, where vi are the vector elements.
Let's consider a capsule that detects faces. If we start moving a face across an image, the values of the capsule vector will change to reflect the change in the position. However, its length will always ...
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