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LSTM_captcha

基于tensorflow的LSTM网络识别验证码

1、前期经验

关于验证码识别,试过使用传统的machine learning方式识别,在相同样本下效果还算可以,但当迁移到别的数据集时,效果不理想。
对于使用深度学习识别验证码,尝试过使用LeNet-5、AlexNet两种卷积网络,可能是网络结构简单的原因,结果不收敛。故尝试用了RNN中的LSTM单元网络来识别,效果较理想。

2、原始验证码文件

验证码
验证码
验证码

3、网络结构

network structure

4、训练过程

使用Adam算法替代梯度下降,迭代到3000次,accuracy达0.65,loss小于0.03。继续进行迭代、或优化能到达更高的准确率。 验证码
验证码

6、总结

this is a placeholder.

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