As　we　know,　recently　deep　learning　networks　have　gained　currency　for　some　time　under　the　background　of　the　rise　of　big　model,　and　it　has　been　widely　used　for　various　areas　including　microbiology　images　recognition.　Nowadays　deep　learning　network　models　are　also　divided　into　many　different　types,　and　many　new　models　are　proposed　every　year　to　achieve　better　performance.　After　introducing　their　specific　principles　and　composition　structure,　this　paper　compares　three　common　different　deep　learning　networks　named　Deep　neural　network　notation　(DNN),　Convolutional　Neural　network　(CNN)　and　Recurrent　Neural　network　(RNN),　and　introduces　the　recently　emerging　model　named　Residual　network　(Resnet),　starting　from　a　specific　situation　which　calls　for　garbage　classification.　Moreover,　during　this　experiment,　it　also　gives　the　method　V　pipe　a　try　which　differs　a　lot　from　the　former　method,　and　receives　good　results　worth　celebrating.　©　2023　SPIE.