基于Django开发的智能分类图片平台源码(含客户端)+sql数据库+模型文件.zip

[1205_163136] epoch:0,lr:0.001,loss:0.286727993633,train_cm:[[2790 410] [ 385 2815]],val_cm:[[791 9] [ 15 785]] [1205_163829] epoch:1,lr:0.001,loss:0.20418505054,train_cm:[[2953 247] [ 283 2917]],val_cm:[[783 17] [ 5 795]] [1205_164521] epoch:2,lr:0.001,loss:0.182097992608,train_cm:[[2955 245] [ 263 2937]],val_cm:[[790 10] [ 7 793]] [1205_165211] epoch:3,lr:0.001,loss:0.170277514327,train_cm:[[2963 237] [ 224 2976]],val_cm:[[785 15] [ 4 796]] [1205_165902] epoch:4,lr:0.001,loss:0.161490324005,train_cm:[[2997 203] [ 199 3001]],val_cm:[[792 8] [ 7 793]] [1205_170548] epoch:5,lr:0.001,loss:0.160545012867,train_cm:[[2998 202] [ 218 2982]],val_cm:[[794 6] [ 6 794]] [1205_171241] epoch:6,lr:0.001,loss:0.153408482519,train_cm:[[3002 198] [ 191 3009]],val_cm:[[794 6] [ 6 794]] [1205_171932] epoch:7,lr:0.001,loss:0.143169819787,train_cm:[[3012 188] [ 183 3017]],val_cm:[[789 11] [ 4 796]] [1205_172624] epoch:8,lr:0.001,loss:0.12719436361,train_cm:[[3048 152] [ 162 3038]],val_cm:[[793 7] [ 4 796]] [1205_173314] epoch:9,lr:0.001,loss:0.133429812621,train_cm:[[3034 166] [ 182 3018]],val_cm:[[789 11] [ 6 794]]