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Understanding Equivariance

Posted by David Rawlinson on
Understanding Equivariance

Effect of univariate perturbation of hidden layer resulting from Predictive Capsules algorithm

We are exploring the nature of equivariance, a concept that is now closely associated with the capsules network architecture (see key papers Sabour et al, and Hinton et al). Machine learning representations that capture equivariance must learn the way that patterns in the input vary together, in a ...