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庞夫人心下是有气，又不知道怎么撒出来，其实她并没有吃亏，只是少占了便宜，俗话说占便宜是没有够的，她只好想法从其它方面找补回来。故事发生在非洲附近的大海上，主人公冷锋遭遇人生滑铁卢，被“开除军籍”，本想漂泊一生的他，正当他打算这么做的时候，一场突如其来的意外打破了他的计划，突然被卷入了一场非洲国家叛乱，本可以安全撤离，却因无法忘记曾经为军人的使命，孤身犯险冲回沦陷区，带领身陷屠杀中的同胞和难民，展开生死逃亡。随着斗争的持续，体内的狼性逐渐复苏，最终孤身闯入战乱区域，为同胞而战斗。绿萝夫人，恭喜了。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 ~该节目将公开演艺圈有名的6位美食家明星展开新菜品竞争，最后获得胜利的菜品将实际在全国便利店上市的新概念综艺节目。并且该菜品上市后获得的收益金将捐赠给缺食儿童，具有意义的概念引起社会关注。　　文佳煐 饰演威基基的青年们那些年爱过的初恋“后岩洞女神”韩秀妍，婚礼当天受到突发性屈辱的秀妍和俊基重逢后，命运般地在威基基住下来。