# Python_TensorFlow_Verification_code_identification
Python基于TensorFlow深度学习卷积神经网络自动识别网站验证码设计毕业源码案例设计
## 开发环境： Pycharm + Python3.7 + Django2.2 + sqlite数据库 + TensorFlow深度学习框架 + selenium自动化测试
“基于深度网络的网站验证码识别研究与实现”：主要是利用卷积神经网络，基于TensorFlow平台，构建了三层卷积两层全联接模型，训练出的一个准确率为91.3%的识别模型。再基于Django构建登陆系统，使用selenium实现自动测试，完成验证码从识别到自动登录的全过程。
毕业设计，基于Python+TensorFlow深度学习卷积神经网络自动识别网站验证码，内含Python完整源代码，数据库脚本
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2024-01-21
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毕业设计，基于Python+TensorFlow深度学习卷积神经网络自动识别网站验证码，内含Python完整源代码，数据库脚本 （105个子文件） 
checkpoint 101B
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关于系统.txt 353B requirements.txt 214B workspace.xml 24KB workspace.xml 22KB Project_Default.xml 1KB misc.xml 315B modules.xml 295B共 105 条
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