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郭氏平乐正骨已有二百余年行医史，清代时医过慈禧太后，德高医精，闻名遐迩。徽州商人潘浩璋子承父业，背井离乡到扬州经商，重振丰泰商号的曲折故事和动人故事，反映了徽商的智慧与奋斗精神。superstar？Yes，曾经的superstar。眼下的境况是知名度下滑+家族生意遇到瓶颈。一堆破事要怎么办？干脆到国外去散心探望朋友并学习经营之道。时来运转，贵人降临。可是这个懂得那么多的工人怎么老爱捉弄她?和他做朋友？似乎也不赖只是，事情真的仅仅就那么简单？是机缘巧合，还是命中注定？一切等待她回到泰国后，谜底终将揭晓特战大队队长金戈婚礼之日被日军所害，母亲惨死，新婚妻子柳文婷投河，金戈立志要为妻母报仇。共产党员戴金花奉命护送其去往敌后根据地。两人合力在敌后打响“抗日先锋第九大队”的名号。日军欲实施灭绝人性的“死海计划”，此时柳文婷意外出现，金戈年少好友钱柏豪也随之现身，两人竟以“夫妻”相称。种种谜团扑朔迷离，金戈与金花务必要赶在日军动手前破坏“死海计划”，一场争分夺秒的战斗就此展开……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 ~2018-03-02 10:36:20