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.nacrack.com/mega-choice-2005-2006-NISSAN-ALTIMA-Radio-Receiver-AM-FM-stereo-single-CD-Player-G-mega-value/