基于TibetanMNIST图像分类与图像匹配
https://www.kesci.com/home/dataset/5bfe734a954d6e0010683839
https://www.kesci.com/home/project/5c063da7f55a5f002b73d159
结果如下，在测试集准确率达到99.46%
loss: 0.0029 - acc: 0.9989 - val_loss: 0.0216 - val_acc: 0.9946
可以达到99.10%的准确率
loss: 0.0269 - acc: 0.9910 - val_loss: 0.0560 - val_acc: 0.9829
预测正确的情况：
预测错误的情况：
reference:https://www.one-tab.com/page/OeLJRrcFTW2DthBklKUMZw
在webapp目录下，运行train_lr.py和train_cnn.py训练模型，然后运行main.py启动web应用
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