Dear Akif Eng ,
look the link, maybe useful.
https://hackernoon.com/what-is-a-capsnet-or-capsule-network-2bfbe48769cc
Regards, Shafagat
This code may help.
https://github.com/higgsfield/Capsule-Network-Tutorial
There is an expectation from you as a reader. You need to be aware of CNNs. If not, I would like you to go through this article on Hackernoon. Next I will run through a small recap of relevant points of CNN. That way you can easily grab on to the comparison done below. So without further ado lets dive in.
CNN are essentially a system where we stack a lot of neurons together. These networks have been proven to be exceptionally great at handling image classification problems. It would be hard to have a neural network map out all the pixels of an image since it‘s computationally really expensive. So convolutional is a method which helps you simplify the computation to a great extent without losing the essence of the data. Convolution is basically a lot of matrix multiplication and summation of those results.
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