经典轻量级CNN网络之EfficientNet 图像分类网络实战项目：151类大型动物图像识别数据集

[train hyper-parameters: Namespace(batch_size=16, epochs=50)] [epoch: 1] train loss:0.3083 test accuracy:0.0198 [epoch: 2] train loss:0.2946 test accuracy:0.0313 [epoch: 3] train loss:0.2830 test accuracy:0.0494 [epoch: 4] train loss:0.2731 test accuracy:0.0659 [epoch: 5] train loss:0.2648 test accuracy:0.0956 [epoch: 6] train loss:0.2556 test accuracy:0.1120 [epoch: 7] train loss:0.2463 test accuracy:0.1079 [epoch: 8] train loss:0.2366 test accuracy:0.1450 [epoch: 9] train loss:0.2299 test accuracy:0.1582 [epoch: 10] train loss:0.2200 test accuracy:0.1730 [epoch: 11] train loss:0.2141 test accuracy:0.1928 [epoch: 12] train loss:0.2057 test accuracy:0.2076 [epoch: 13] train loss:0.1966 test accuracy:0.2339 [epoch: 14] train loss:0.1889 test accuracy:0.2718 [epoch: 15] train loss:0.1824 test accuracy:0.2586 [epoch: 16] train loss:0.1732 test accuracy:0.3097 [epoch: 17] train loss:0.1647 test accuracy:0.3171 [epoch: 18] train loss:0.1591 test accuracy:0.3056 [epoch: 19] train loss:0.1491 test accuracy:0.3386 [epoch: 20] train loss:0.1424 test accuracy:0.3311 [epoch: 21] train loss:0.1363 test accuracy:0.3575 [epoch: 22] train loss:0.1279 test accuracy:0.3501 [epoch: 23] train loss:0.1191 test accuracy:0.3509 [epoch: 24] train loss:0.1126 test accuracy:0.3567 [epoch: 25] train loss:0.1065 test accuracy:0.3764 [epoch: 26] train loss:0.0989 test accuracy:0.3979 [epoch: 27] train loss:0.0916 test accuracy:0.3888 [epoch: 28] train loss:0.0840 test accuracy:0.3929 [epoch: 29] train loss:0.0788 test accuracy:0.3855 [epoch: 30] train loss:0.0726 test accuracy:0.3970 [epoch: 31] train loss:0.0645 test accuracy:0.4053 [epoch: 32] train loss:0.0596 test accuracy:0.4152 [epoch: 33] train loss:0.0546 test accuracy:0.3937 [epoch: 34] train loss:0.0513 test accuracy:0.4135 [epoch: 35] train loss:0.0444 test accuracy:0.3781 [epoch: 36] train loss:0.0404 test accuracy:0.4028 [epoch: 37] train loss:0.0407 test accuracy:0.4119 [epoch: 38] train loss:0.0333 test accuracy:0.4234 [epoch: 39] train loss:0.0332 test accuracy:0.4226 [epoch: 40] train loss:0.0302 test accuracy:0.4152 [epoch: 41] train loss:0.0279 test accuracy:0.4473 [epoch: 42] train loss:0.0282 test accuracy:0.4357 [epoch: 43] train loss:0.0244 test accuracy:0.4077 [epoch: 44] train loss:0.0252 test accuracy:0.4316 [epoch: 45] train loss:0.0233 test accuracy:0.4432 [epoch: 46] train loss:0.0195 test accuracy:0.4160 [epoch: 47] train loss:0.0233 test accuracy:0.4152 [epoch: 48] train loss:0.0190 test accuracy:0.4423 [epoch: 49] train loss:0.0173 test accuracy:0.4407 [epoch: 50] train loss:0.0167 test accuracy:0.4201