Geoffrey Hinton (who popularized backpropagation in the 80s) recently published his long-awaited paper on "Capsule Networks" - which provide state of the art classification accuracy on the MNIST dataset. In this video I'll go over how Convolutional networks work, some improvements to them over the years, then i'll go over capsule networks in both theory and code.
Code for this video:
https://github.com/llSourcell/capsule_networks
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https://www.reddit.com/r/MachineLearning/comments/78zvc4/r_171009829_dynamic_routing_between_capsules/
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