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The name of the personnel on duty, the number of inspections per day, the inspection time and the inspection position.香云急忙想要阻止，几人早进去了。　　北宋末年，宋微宗昏庸无道，宦官当政，民不聊生。山东郓城以宋江为首的三十六人等楸起了风起云涌的农民起义，他们杀富济贫，行侠仗义，令统治阶级闻风丧胆，令广大百姓拍手称快。义军不断挫败官兵的围剿，兵马粮饷不断充实壮大。暴秦无道，我们共聚一堂，目的就是为了推翻他，解救万民，光复故国。Sorry to force a wave of chicken soup. Originally, I planned to write a machine learning series last year, but after writing three articles for work and physical reasons, there was no more. In the first half of this year, I was tired to death after doing a big project. In the second half of this year, I just took a breath of relief, so the follow-up that I owed before will definitely continue to be even more. In order not to let everyone worship blindly, I decided to write a series of in-depth study, one article per week, which will end in about three months. Teach Xiaobai how to get started. And finished! All! No! Fei! ! It is not simply to write demo and tuning parameters that are available on the Internet. Reject demo, start with me! If you don't understand, please leave a message under my article. I will try my best to reply when I see it. This series will mainly adopt the in-depth learning framework of PaddlaPaddle, and will compare the advantages and disadvantages of Keras, TensorFlow and MXNET (because I have only used these four frameworks, there are too many people writing TensorFlow, and I am using PaddlePaddle well at present, so I decided to start with this). All codes will be put on github (link: https://github.com/huxiaoman7/PaddlePaddle_code). Welcome to mention issue and star. At present, only the first article () has been written, and there will be more in-depth explanation and code later. At present, I have made a simple outline. If you are interested in the direction, you can leave me a message, and I will refer to the addition ~　　出身富裕人家的小姐祝英台（刘若英 配音）有着不同于传统女性的想法，争取到了和男生一同上学堂的机会。扮成男装的祝英台在路途上结识了志趣相投的梁山伯（萧亚轩 配音）。二人同起同卧，吟诗作赋，同窗相伴三年。祝英台也在这过程中爱上了梁山伯。二人的相恋却受到了门第观念的阻隔。活着时不能在一起的他们选择了死亡。翩翩起舞的彩蝶是二人渴望自由的化身，而他们终究不再受到束缚，终可以永生相随起舞。