I am trying to get output of primary capsule layer in capsule network. According to that I get 1152 number of 8D capsules. Here is one example
[ 0.19123563 -0.11994515 -0.7150253 -0.35917872 -0.02346791 -0.32390958
0.40772104 -0.01656894]
I am finding its magnitude using np.linalg.norm()
. Accordingly magnitude is 0.98143137
.I don't understand how this is calculated.
The magnitude is the square root of the sum of the squares of all the entries of the vector. The following code would give you the same value: np.sqrt(np.sum(vector**2))
. As far as graphing this, I'm unsure of what you are trying to visualize.