Capsule neural network: Difference between revisions

Revision as of 15:59, 2 September 2018

Revision as of 13:20, 28 November 2018

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In 2000 [[Geoffrey Hinton]] et. al. described an imaging system that combined segmentation and recognition into a single inference process using [[Parse tree|parse trees]]. So-called credibility networks described the joint distribution over the latent variables and over the possible parse trees. That system proved useful on the [[MNIST database|MNIST]] handwritten digit database.<ref name=":0" />

A dynamic routing mechanism for capsule networks werewas introduced by Hinton and his team in 2017. The approach was claimed to reduce error rates on [[MNIST database|MNIST]] and to reduce training set sizes. Results were claimed to be considerably better than a CNN on highly overlapped digits.<ref name=":1"/>

In Hinton's original idea one minicolumn would represent and detect one multidimensional entity.<ref>{{Citation|last=Meher Vamsi|title=Geoffrey Hinton Capsule theory|date=2017-11-15|url=https://www.youtube.com/watch?v=6S1_WqE55UQ|accessdate=2017-12-06}}</ref><ref group="note" name=":0" />