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一个混不下去的老炮儿、一个吊儿郎当的中国导游、一个残暴歹毒的毒枭老大、一个唯利是图的歌舞伎町老板、一个胸怀大志却碌碌无为的中国警探，这群人的命运被一个素未谋面的“卫生巾杀人魔”所紧密地联系在了一起，最终善有善果，恶有恶终。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 ~Because red is indeed the easiest to identify, both red clothes and red silk scarves are the easiest to be "handpicked" lucky ones. It is reported that at the first press conference held by the National Committee of the Chinese People's Political Consultative Conference in 2009, the host ordered women wearing silk scarves three times in a row within half an hour.还好，沥海有一个做假账的奇才，此人浸淫假账界多年，业务已炉火纯青，可以把十两做成十二两，也能把一千两做成两千两。花王和皮特的幸福之恋越来越近了。但是由于高王被妈妈拒之门外，他担心对她的发现感到恐惧。然后，他的母亲介绍了一位同事的儿子Non，因为他需要Kao的辅导。随着Non不断向Kao发出'iffy'的共鸣，这只会加剧Pete的嫉妒心。他们的关系很紧张，但通过此，他们必须最终克服彼此的缺点。他们俩在对彼此的永恒情趣下青春绽放。皮特（Pete）和花王（Kao）被深蓝色的奇迹所环绕，顺服了他们的感情。