Deep learning was recently successfully used in deriving symmetry transformations that preserve important physics quantities. Being completely agnostic. these techniques postpone the identification of the discovered symmetries to a later stage. In this letter we propose methods for examining and identifying the group-theoretic structure of such machine-learned symmetries. https://www.hindigyanvishv.com/best-catch-Sunjoy-9-x-11-Foot-Arched-Pergola-Cover-Backyard-Roof-Canopy-Tent-For-Parts-p29332-mega-find/