图像分类实战项目：基于DenseNet169网络对常见102鲜花数据集的迁移学习项目

[train hyper-parameters: Namespace(batch_size=16, lr=0.001, lrf=0.01, num_classes=102)] [epoch: 1] train loss:0.2326 test accuracy:0.2873 [epoch: 2] train loss:0.1724 test accuracy:0.4156 [epoch: 3] train loss:0.1384 test accuracy:0.5061 [epoch: 4] train loss:0.1115 test accuracy:0.5831 [epoch: 5] train loss:0.0920 test accuracy:0.6381 [epoch: 6] train loss:0.0767 test accuracy:0.6760 [epoch: 7] train loss:0.0659 test accuracy:0.7628 [epoch: 8] train loss:0.0550 test accuracy:0.7812 [epoch: 9] train loss:0.0461 test accuracy:0.7616 [epoch: 10] train loss:0.0401 test accuracy:0.8130 [epoch: 11] train loss:0.0337 test accuracy:0.8154 [epoch: 12] train loss:0.0281 test accuracy:0.8178 [epoch: 13] train loss:0.0234 test accuracy:0.8606 [epoch: 14] train loss:0.0214 test accuracy:0.8447 [epoch: 15] train loss:0.0186 test accuracy:0.8594 [epoch: 16] train loss:0.0155 test accuracy:0.8716 [epoch: 17] train loss:0.0125 test accuracy:0.8680 [epoch: 18] train loss:0.0101 test accuracy:0.8729 [epoch: 19] train loss:0.0086 test accuracy:0.8680 [epoch: 20] train loss:0.0069 test accuracy:0.8888 [epoch: 21] train loss:0.0065 test accuracy:0.8814 [epoch: 22] train loss:0.0047 test accuracy:0.9022 [epoch: 23] train loss:0.0040 test accuracy:0.8888 [epoch: 24] train loss:0.0036 test accuracy:0.8924 [epoch: 25] train loss:0.0031 test accuracy:0.8949 [epoch: 26] train loss:0.0032 test accuracy:0.8839 [epoch: 27] train loss:0.0026 test accuracy:0.8998 [epoch: 28] train loss:0.0020 test accuracy:0.9083 [epoch: 29] train loss:0.0019 test accuracy:0.9083 [epoch: 30] train loss:0.0016 test accuracy:0.9034 [epoch: 31] train loss:0.0015 test accuracy:0.9046 [epoch: 32] train loss:0.0016 test accuracy:0.9071 [epoch: 33] train loss:0.0013 test accuracy:0.9144 [epoch: 34] train loss:0.0011 test accuracy:0.9095 [epoch: 35] train loss:0.0012 test accuracy:0.9108 [epoch: 36] train loss:0.0011 test accuracy:0.9108 [epoch: 37] train loss:0.0011 test accuracy:0.9059 [epoch: 38] train loss:0.0011 test accuracy:0.9144 [epoch: 39] train loss:0.0010 test accuracy:0.9108 [epoch: 40] train loss:0.0009 test accuracy:0.9059 [epoch: 41] train loss:0.0010 test accuracy:0.9205 [epoch: 42] train loss:0.0008 test accuracy:0.9132 [epoch: 43] train loss:0.0008 test accuracy:0.9120 [epoch: 44] train loss:0.0009 test accuracy:0.9144 [epoch: 45] train loss:0.0008 test accuracy:0.9120 [epoch: 46] train loss:0.0008 test accuracy:0.9218 [epoch: 47] train loss:0.0008 test accuracy:0.9181 [epoch: 48] train loss:0.0007 test accuracy:0.9144 [epoch: 49] train loss:0.0008 test accuracy:0.9083 [epoch: 50] train loss:0.0007 test accuracy:0.9083