经典轻量级CNN网络之MobileNet 图像分类网络实战项目：6种生活垃圾图像分类数据集

[train hyper-parameters: Namespace(batch_size=16, epochs=50)] [epoch: 1] train loss:0.1003 test accuracy:0.1988 [epoch: 2] train loss:0.0859 test accuracy:0.1988 [epoch: 3] train loss:0.0769 test accuracy:0.1988 [epoch: 4] train loss:0.0730 test accuracy:0.1988 [epoch: 5] train loss:0.0677 test accuracy:0.2883 [epoch: 6] train loss:0.0637 test accuracy:0.5149 [epoch: 7] train loss:0.0583 test accuracy:0.5885 [epoch: 8] train loss:0.0545 test accuracy:0.6461 [epoch: 9] train loss:0.0527 test accuracy:0.6461 [epoch: 10] train loss:0.0478 test accuracy:0.6163 [epoch: 11] train loss:0.0452 test accuracy:0.6103 [epoch: 12] train loss:0.0450 test accuracy:0.6223 [epoch: 13] train loss:0.0411 test accuracy:0.6223 [epoch: 14] train loss:0.0393 test accuracy:0.6461 [epoch: 15] train loss:0.0337 test accuracy:0.6123 [epoch: 16] train loss:0.0347 test accuracy:0.6402 [epoch: 17] train loss:0.0329 test accuracy:0.6581 [epoch: 18] train loss:0.0295 test accuracy:0.6481 [epoch: 19] train loss:0.0280 test accuracy:0.6680 [epoch: 20] train loss:0.0258 test accuracy:0.6282 [epoch: 21] train loss:0.0241 test accuracy:0.6322 [epoch: 22] train loss:0.0231 test accuracy:0.6421 [epoch: 23] train loss:0.0249 test accuracy:0.6501 [epoch: 24] train loss:0.0220 test accuracy:0.6441 [epoch: 25] train loss:0.0213 test accuracy:0.6143 [epoch: 26] train loss:0.0185 test accuracy:0.6541 [epoch: 27] train loss:0.0188 test accuracy:0.6660 [epoch: 28] train loss:0.0213 test accuracy:0.6600 [epoch: 29] train loss:0.0168 test accuracy:0.6899 [epoch: 30] train loss:0.0163 test accuracy:0.6740 [epoch: 31] train loss:0.0148 test accuracy:0.6640 [epoch: 32] train loss:0.0155 test accuracy:0.6839 [epoch: 33] train loss:0.0137 test accuracy:0.6441 [epoch: 34] train loss:0.0138 test accuracy:0.6561 [epoch: 35] train loss:0.0130 test accuracy:0.6640 [epoch: 36] train loss:0.0155 test accuracy:0.6799 [epoch: 37] train loss:0.0133 test accuracy:0.6700 [epoch: 38] train loss:0.0118 test accuracy:0.6561 [epoch: 39] train loss:0.0117 test accuracy:0.6640 [epoch: 40] train loss:0.0125 test accuracy:0.6918 [epoch: 41] train loss:0.0121 test accuracy:0.6680 [epoch: 42] train loss:0.0111 test accuracy:0.6799 [epoch: 43] train loss:0.0094 test accuracy:0.6700 [epoch: 44] train loss:0.0103 test accuracy:0.6461 [epoch: 45] train loss:0.0119 test accuracy:0.6342 [epoch: 46] train loss:0.0092 test accuracy:0.6859 [epoch: 47] train loss:0.0095 test accuracy:0.7097 [epoch: 48] train loss:0.0102 test accuracy:0.6720 [epoch: 49] train loss:0.0099 test accuracy:0.6740 [epoch: 50] train loss:0.0098 test accuracy:0.6740