《毕业设计&代码复用》--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.zip资源-CSDN文库

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《毕业设计&代码复用》--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.zip （104个子文件）

checkpoint 101B

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events.out.tfevents.1596108514.ICOS-20191217XB 311KB

events.out.tfevents.1596121485.ICOS-20191217XB 285KB

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events.out.tfevents.1596104121.ICOS-20191217XB 244KB

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events.out.tfevents.1596097734.ICOS-20191217XB 211KB

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events.out.tfevents.1596097203.ICOS-20191217XB 210KB

mysite.iml 1KB

Dissertation.iml 1KB

Dissertation_model.iml 532B

crack_capcha.model-120.index 1KB

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wsgi.cpython-35.pyc 565B

urls.cpython-37.pyc 517B

urls.cpython-35.pyc 428B

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requirements.txt 214B

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modules.xml 295B

modules.xml 264B

共 104 条

# 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。

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