Understanding Equivariance

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 addition to statistical clusters in… Read More »Understanding Equivariance