Capsule neural network: Difference between revisions

Revision as of 07:00, 30 June 2019

Revision as of 06:58, 13 July 2019

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== History ==

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 was 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"/>