Re:Pruning AI networks without impacting performance
by rdlecler1 on Tuesday December 12, 2017 @06:32PM
(#15910556)
What we’re seeing is that most weights are actually spurious. This in effect reveals the underlying circuitry. I did network pruning on gene regulatory networks using an evolutionary algorithm (mathematically identical to artificial neural networks.
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2538912/