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These have a lot of promise and look fun to work with:
https://github.com/higgsfield/Capsule-Network-Tutorial
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Are you planning on adding support for [capsule networks](https://medium.com/ai%C2%B3-theory-practice-business/understanding-hintons-capsule-networks-part-i-intuition-b4b559d1159b)?
:)
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Are there planned implementations of these?
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## Description
Study this [tutorial](https://medium.com/@meet_patel/capsule-networks-paper-implementation-e1d6e8061f95)
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**Abstract:** The high-quality node embeddings learned from the Graph Neural Networks (GNNs) have been applied to a wide range of node-based applications and some of them have achieved state-of-th…
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First I want to take the chance to thank you for your videos, tutorials, books and for publishing the notebooks in a public repo! Thank you!
I recently started looking at Capsule Networks and foun…
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I would like to add Capsule network which outperformed CNN on MNIST dataset.This would allow users to appreciate the current state of the art in Image Classification [link](https://arxiv.org/pdf/1710.…
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I have come across the following main deviations between the paper(https://arxiv.org/abs/1710.09829) and the implementation of this repo:
1. **In the paper:** there are 32 primary capsule layer wit…
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Why is there an extra softmax layer https://github.com/gram-ai/capsule-networks/blob/master/capsule_network.py#L106?
Each capsule's norm is already modelling a probability.
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https://github.com/gram-ai/capsule-networks/blob/1a4edd27a0ed73232cb266c85091d712854f3e71/capsule_network.py#L69