How to make a confrontation example of Deception Depth Neural Network (DNN) is a very active related research field. Now, creating imperceptible disturbances and completely deceiving DNN is a small matter, as shown in the above picture taken from the paper "Explaining and Harnessing Adversarial Examples" (https://arxiv.org/abs/1412. 6572).
故事的舞台是清兰学园仍在举行的学园第一美男美女的选美大赛。憧憬着选美大赛的平凡女高中生的主角，一边抱着外表的烦恼，一边对抗着在校园内留下深刻色彩的外表主义，为梦想和恋爱而奋斗的逆袭爱情故事。
创下日本平成年代收视奇迹的电视剧《半泽直树》续作将于2020年4月在TBS周日剧场开播。
If the response message can be received normally on 146, then return to 156 to check the rules of INPUT chain. The counter of the first rule has already shown the number of matched messages.
24. The company should increase interaction with employees and listen to their ideas and suggestions.
10. Click to download: Communications Department's electronic signature attachment. RAR, attachment 5, attachment 7, fill in and affix the official seal; Appendix 9, Signature; Attachment 10, in two copies, Party a shall fill in the name of the unit and affix its official seal.
1947年，刘邓大军在鲁西南歼敌九个半旅，继续向大别山挺进。敌军长白建业欲与我军决战，分兵两路在汝河两岸北追南截。刘邓大军胜利到达大别山与当地游击队会师，军中一个叫来弟的姑娘当上了方家坪的区长。旅长方军找到了分别15年的母亲……
因此两件事，他心里对少女说不出的感激，立意等伤好后要上门面谢她。
不禁暗自佩服，没想到蒲俊一个武将，竟不声不响地了解了这么多的东西。
富士电视台将于10月17日（周五）晚11点开始播出由小泉今日子的特色自传《战斗女人》改编的电视剧。
本季是该剧最后一季
石川启吾（金城武 饰）是一位英俊潇洒、才华横溢的优秀音乐人，他的作品风靡全国，尤其受到年轻人的喜爱。然而他却因丧妻之痛将自己封闭起来，没人能走进他的内心世界。
秦基周饰演李泰梨一角，受妈妈的影响，梦想着成为演员，虽然遇到了残酷的事件，但最终成功成为演员。
奴隶斯巴迪格斯不堪暴虐的统治，决定率领其他奴隶发动起义，以图推翻罗马帝国暴政。
实习医生格蕾 第九季
打开略一扫视，脸上立即现出惊喜神色。
卢克·伊万斯将主演ITV三集新剧《彭布罗克郡谋杀案》(The Pembrokeshire Murders，暂译)。 Nick Stevens(《近在眼前》)操刀剧本，剧集卡司还包括基思·艾伦([飞鹰艾迪])、欧文·蒂尔(《权力的游戏》)、亚历山大·莱利(《去他*的世界》)等。该剧根据高级调查官史蒂夫·威尔金斯与ITV新闻记者乔纳森·希尔共同撰写的纪实文学改编，讲述了1980年代有两起未解决的双重谋杀案。2006年，新上任的督察长史蒂夫·威尔金斯(卢克·伊万斯饰)决定再度调查这两起案件，采用了现代法医调查方法，利用DNA等线索，将两起谋杀案与一系列的盗窃案联系在一起。在这些盗窃者即将刑满释放前，史蒂夫团队能否找到足够的证据来指控嫌犯呢？该剧将于本月开拍。
For codes of the same length, theoretically, the further the coding distance between any two categories, the stronger the error correction capability. Therefore, when the code length is small, the theoretical optimal code can be calculated according to this principle. However, it is difficult to effectively determine the optimal code when the code length is slightly larger. In fact, this is an NP-hard problem. However, we usually do not need to obtain theoretical optimal codes, because non-optimal codes can often produce good enough classifiers in practice. On the other hand, it is not that the better the theoretical properties of coding, the better the classification performance, because the machine learning problem involves many factors, such as dismantling multiple classes into two "class subsets", and the difficulty of distinguishing the two class subsets formed by different dismantling methods is often different, that is, the difficulty of the two classification problems caused by them is different. Therefore, one theory has a good quality of error correction, but it leads to a difficult coding for the two-classification problem, which is worse than the other theory, but it leads to a simpler coding for the two-classification problem, and it is hard to say which is better or weaker in the final performance of the model.
