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In Hintons talk "What's wrong about convolutional nets" (Late 2016 or early 2015, I guess) he talks about capsules to make a modular CNN.

Is there any publicly available implementation or papers about this idea?

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Following the publication of Dynamic Routing of Capsules (https://arxiv.org/abs/1710.09829), there have been open source implementations of this idea released. See https://github.com/XifengGuo/CapsNet-Keras and https://github.com/soskek/dynamic_routing_between_capsules for two such examples.

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Thought I'd add a selection of what's of some of the 'best' stuff out there to suit different learning styles :)

Literature - Original paper by Sara Sabour, Nicholas Frosst, Geoffrey E Hinton

Blog post - Understanding Hinton’s Capsule Networks. Part I: Intuition by Max Pechyonkin

Youtube video - Capsule Networks (CapsNets) – Tutorial by Aurélien Géron

Implementation - Keras implementation by Xifeng Guo

More reading - Github repository containing comprehensive list of CapsNet info

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