经典轻量级CNN网络之MobileNet 图像分类网络实战项目：X射线手部骨折分类【数据集+代码+训练好的权重】

[train hyper-parameters: Namespace(batch_size=16, epochs=20)] [epoch: 1] train loss:0.0407 test accuracy:0.4000 [epoch: 2] train loss:0.0305 test accuracy:0.6633 [epoch: 3] train loss:0.0223 test accuracy:0.5633 [epoch: 4] train loss:0.0152 test accuracy:0.6417 [epoch: 5] train loss:0.0124 test accuracy:0.5567 [epoch: 6] train loss:0.0091 test accuracy:0.6867 [epoch: 7] train loss:0.0073 test accuracy:0.6300 [epoch: 8] train loss:0.0057 test accuracy:0.6300 [epoch: 9] train loss:0.0043 test accuracy:0.6133 [epoch: 10] train loss:0.0043 test accuracy:0.7117 [epoch: 11] train loss:0.0031 test accuracy:0.7583 [epoch: 12] train loss:0.0037 test accuracy:0.6250 [epoch: 13] train loss:0.0028 test accuracy:0.6833 [epoch: 14] train loss:0.0019 test accuracy:0.7583 [epoch: 15] train loss:0.0023 test accuracy:0.7617 [epoch: 16] train loss:0.0026 test accuracy:0.7650 [epoch: 17] train loss:0.0014 test accuracy:0.6767 [epoch: 18] train loss:0.0018 test accuracy:0.7733 [epoch: 19] train loss:0.0019 test accuracy:0.7967 [epoch: 20] train loss:0.0012 test accuracy:0.7717