On the training of sparse and dense deep neural networks: less parameters, same performance

Lorenzo Chicchi, Lorenzo Giambagli, Lorenzo Buffoni +3

Deep neural networks can be trained in reciprocal space, by acting on the eigenvalues and eigenvectors of suitable transfer operators in direct space. Adjusting the eigenvalues, wh…