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Star Movie Network-Synopsis: It tells the story of Milo (Feng Hairui), a big man from a poor family, who lost the stock market with his good friend Qiao Ying (Chen Meiyi). As a result, he went to Balcony, a junior public club run like a nightclub, to make money. Under the leadership of Joey's mother (Chen Jieling), he accompanied the host with Feifei (Tongan) and Sabrina (Zhong Zhuofei) every night. Securities analyst Steve N (played by Li Renshen) was brought to Balcony by rich second-generation Lucas (played by Mai Zile) in the task relationship, and saw bankers Lunye (played by Li Kaixian) and Ajie (played by Chen Yongqian). Stephen met Milo on the first day of the mission in Balcony for the first time and carried out each other. Qiao Ying, who passed the brokerage examination, hoped to allow Chen Jie to open an account, while Lucas felt for Joey's mother without being frustrated, while Lunye had a favorable opinion of Feifei. However, under the stock market, there is a hidden surge, affecting the fate of all. Looking at this piece, one can feel that Hong Kong's economic environment is too poor, just as taxi drivers sighed with emotion shortly after the opening. In such a high-end private club, there are not only a handful of girls coming and going, but also two or three girls who are a little pretty (after makeup). Their monthly income is tens of thousands of Hong Kong dollars, and they have to give it to their mommy and buy high-end cosmetics. Even the time when sex workers talked on the 10th many years ago (all supervised by Wu Jianxiong) was not as good as that. Ah, life is not easy!该剧主要讲述了拥有成功、复仇、孩子、爱情等各种欲望的四个男女之间发生的痴情爱情悬疑故事。　　剧集讲述了苏氏布商家的赘婿宁毅，帮助妻子苏檀儿一起搞事业，玩转武朝商界，成为江宁首富的故事；宁毅面对家事、国事、天下事，都勇往直前，从一个无人在意的小小赘婿，成长为真正为天下立心，为生民立命，顺应时代，也改变了时代的大人物。A5.1. 3 Functional inspection.那真话就是不好吃了？不。From the defender's point of view, this type of attack has proved (so far) to be very problematic, because we do not have effective methods to defend against this type of attack. Fundamentally speaking, we do not have an effective way for DNN to produce good output for all inputs. It is very difficult for them to do so, because DNN performs nonlinear/nonconvex optimization in a very large space, and we have not taught them to learn generalized high-level representations. You can read Ian and Nicolas's in-depth articles (http://www.cleverhans.io/security/privacy/ml/2017/02/15/why-attaching-machine-learning-is-easier-than-defending-it.html) to learn more about this.