经典轻量级CNN网络之ShuffleNet 图像分类网络实战项目：25种宝石图像分类数据集（迁移学习）

[train hyper-parameters: Namespace(batch_size=16, epochs=50)] [epoch: 1] train loss:0.1960 test accuracy:0.1111 [epoch: 2] train loss:0.1406 test accuracy:0.4314 [epoch: 3] train loss:0.1152 test accuracy:0.3856 [epoch: 4] train loss:0.0974 test accuracy:0.5948 [epoch: 5] train loss:0.0881 test accuracy:0.5686 [epoch: 6] train loss:0.0749 test accuracy:0.6536 [epoch: 7] train loss:0.0698 test accuracy:0.6928 [epoch: 8] train loss:0.0701 test accuracy:0.6993 [epoch: 9] train loss:0.0597 test accuracy:0.6732 [epoch: 10] train loss:0.0594 test accuracy:0.6405 [epoch: 11] train loss:0.0520 test accuracy:0.7451 [epoch: 12] train loss:0.0558 test accuracy:0.6078 [epoch: 13] train loss:0.0554 test accuracy:0.7124 [epoch: 14] train loss:0.0435 test accuracy:0.6797 [epoch: 15] train loss:0.0393 test accuracy:0.7190 [epoch: 16] train loss:0.0393 test accuracy:0.7320 [epoch: 17] train loss:0.0394 test accuracy:0.6667 [epoch: 18] train loss:0.0388 test accuracy:0.7255 [epoch: 19] train loss:0.0300 test accuracy:0.6928 [epoch: 20] train loss:0.0352 test accuracy:0.7190 [epoch: 21] train loss:0.0412 test accuracy:0.7255 [epoch: 22] train loss:0.0275 test accuracy:0.7516 [epoch: 23] train loss:0.0251 test accuracy:0.6928 [epoch: 24] train loss:0.0280 test accuracy:0.7124 [epoch: 25] train loss:0.0324 test accuracy:0.7059 [epoch: 26] train loss:0.0405 test accuracy:0.6928 [epoch: 27] train loss:0.0253 test accuracy:0.7516 [epoch: 28] train loss:0.0196 test accuracy:0.7124 [epoch: 29] train loss:0.0196 test accuracy:0.7190 [epoch: 30] train loss:0.0247 test accuracy:0.7059 [epoch: 31] train loss:0.0252 test accuracy:0.7059 [epoch: 32] train loss:0.0205 test accuracy:0.7124 [epoch: 33] train loss:0.0208 test accuracy:0.7647 [epoch: 34] train loss:0.0225 test accuracy:0.7124 [epoch: 35] train loss:0.0245 test accuracy:0.7320 [epoch: 36] train loss:0.0250 test accuracy:0.7124 [epoch: 37] train loss:0.0198 test accuracy:0.6928 [epoch: 38] train loss:0.0135 test accuracy:0.7320 [epoch: 39] train loss:0.0251 test accuracy:0.7320 [epoch: 40] train loss:0.0258 test accuracy:0.6993 [epoch: 41] train loss:0.0233 test accuracy:0.7190 [epoch: 42] train loss:0.0140 test accuracy:0.7386 [epoch: 43] train loss:0.0143 test accuracy:0.7974 [epoch: 44] train loss:0.0138 test accuracy:0.7320 [epoch: 45] train loss:0.0129 test accuracy:0.7778 [epoch: 46] train loss:0.0131 test accuracy:0.6993 [epoch: 47] train loss:0.0142 test accuracy:0.7386 [epoch: 48] train loss:0.0148 test accuracy:0.7647 [epoch: 49] train loss:0.0136 test accuracy:0.7647 [epoch: 50] train loss:0.0156 test accuracy:0.7908