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伊斯坦布尔受到政治暴力的控制。 Hamza, 是一名高级政治官员，他从监狱里释放了 Kadir，条件是Kadir要在垃圾收集器的新情报单位工作。Kadir 答应了，开始从贫民窟收集垃圾，并检查它是否包含制造炸弹的材料。可Kadir 发现他的弟弟Ahmet身在其中，Ahm et 在市政当局工作，并负责一件清除流浪汉的行动……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 ~Two days ago, Mr. Zha sent an article on the story of stepping on thunder: I hope we are not the main characters in this story of blood showering forest one by one, which makes many investment friends feel heartache for them after seeing these stories, and others feel the same way because they have also experienced stepping on thunder. Let's understand it together with Yixin Financial Management Editor.　　讲述了清朝末年，慈禧练香师苏一默在野外救助了一只水貂，而后遇见绝代佳人方媚娘，娶为小妾，后媚娘迅速学会练香，被传为妖，另外宫女林雪儿夜奔到香家，亦被传为妖，但媚娘被驱逐，而雪儿却遇神杀神，遇佛杀佛，成了香家大奶奶，可是却失去了丈夫的心，纳了小妾回来……方媚娘为叶璇扮演，苏一默为任泉扮演，而《天香篇》香浩宇为刘恺威扮演，苏雨宁/红玉为叶璇扮演！出身贫寒的草根女子唐澜意外救下高智商孤独症少年程月亮，两人自此成为亦师亦母的忘年之交，更因此与银楼少东刘传一和银行家程逸飞结缘。转眼至一九三七年，抗日战争全面爆发，唐澜携手月亮智救卷入日本人命案的桂花香，初露头角的月亮被二叔程逸翔视为夺产的绊脚石，欲除之而后快。唐澜因义捐之事被日军抓捕，众人全力营救，怎料丈夫传一反致逃难身亡，挚友逸飞亦中枪病危，程家岌岌可危。义字当头的新寡唐澜与逸飞假结婚守护程家，却不知亡夫传一竟以神秘身份归来；国难当头，月亮勇救数百上千难民逃过日本人的大范围搜捕，更深入敌军情报机关冒险拯救危难之中的父亲……在这场国仇家难的危机中，亲情友情爱情故事发生在被天空之壁分为三区块的《幪面超人BUILD》的世界，竟然出现了《幪面超人EX-AID》世界的敌人怪人崩源体：为何不该出现在这的敌人会来到这世界？面对神秘敌人而毫无应对方法的战兔，一个身体半边被金属覆盖的神神秘男人出现在他眼前。