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四个美国大男孩吉姆、凯文、芬奇、奥兹即将高中毕业，但四人都还是处男。四人因此遭人嘲笑，他们亦耿耿于怀，发誓在毕业前要告别处男。他们在毕业晚会前就举办了一场派对，企图在派队上找到自己的女孩，告别处男之身。谁知告别处男并没有想象中简单，也没有按设想进行，他们总是在最后关头因为这样那样的原因而失去机会。毕业晚会即将到来，这是他们毕业前的最后一次机会了，四人又开始加紧准备步伐。怀揣着父亲教授的一套性知识的吉姆，最喜欢看图书馆性爱“圣经”的凯 文，最喜欢大龄女人的芬奇，还有多才多艺的奥兹，在这场派队中纷纷为自己的誓言而奋斗，于是有了笑料百出的一幕幕。陈启不为所动，摇摇头，说道：就是不催更。“校阅” 意思：查找、研究文章或原稿中的错误或不全面的部分，并进行更正或校正。主角是一位疯狂热爱时尚的28岁女性，名叫河野悦子。她拥有异常旺盛的好奇心，口头禅是"为什么？"、"为何呢？"。神秘博士第五季传奇虽然精彩，但是江湖上从来就没有缺过，但是武林中的神话只有一段。　　最后两条主线交会在恒河岸边。社会的矛盾、生活的无奈就这样如长卷般徐徐展开，平淡似水，又感人至深。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 ~