End product
《挑战智力王》全民搜索自命不凡的智慧达人，现场进入最紧张的300秒倒计时。挑战者必须通过层层关卡，才能拿到最终大奖。受众不再是被动的观赏者，他们同样可以参与其中，身临其境体验刺激的300秒。各种视听元素，互动元素相结合，综合打造一档全民参与、全民挑战的大型益智节目，角逐新一代的超人气智。
Delusion-is a misunderstanding of reality. There can be two main types: sudden appearance of self-feeling particularly good, such as feeling extremely strong and omnipotent. The other is persecution delusion, excessive worry or overt or covert "enemies" are always trying to hurt themselves.
影片改编自真实故事，一群在少管所接受改造的问题少年们冲突不断，以雷公（林哲熹饰）和高少（纪言恺饰）为首的两派更是时常剑拔弩张，令王科长（连凯饰）很是头疼。直到新院长（萧蔷饰）到任，她希望用古典乐来教化这群问题少年，并特意聘请了乐团团长（金士杰饰）的女儿（程媛媛饰）担任音乐老师，于是这帮“坏小子”们开始了放下武器、举起乐器的乐团生活，直到一次大赛前夕……
一副等他被皇帝厌弃的得意神情，眼中厉色一闪，也不跟他啰嗦，转头面向皇帝。
Is there any other reason besides the above that can cause peculiar smell?
实习修女高美女（朴信惠 Shin-hye Park 饰)因被经纪人马室长说服代替手术中的双胞胎哥哥高美男（朴信惠 Shin-hye Park 饰)女扮男装加入韩国人气偶像团体A.N.JELL成为其中一员。时隔不久便被队长黄泰京（张根锡 Keun-Suk Jang 饰）和队员姜新禹（郑容和 Yong-hwa Jung 饰）发现其真实身份。黄泰京对高美女从看不顺眼，到奋力维护其身份，最后在不知不觉中产生情愫。而姜新禹也在同一时间喜欢上这个有点冒失又非常可爱的高美女。另一方面国民精灵uhey（金宥真 饰）威胁黄泰京与她交往，否则马上公开高美女的身份。最后，歌迷会知道真相吗？高美女会选择黄泰京还是姜新禹？而真正的高美男又在哪里？
私立樱才学园，原本是传统的女子高中，但因少子化问题影响，不得不改制为男女合校。作为改制后第一年入学的28名男性新生之一的津田隆利，偶然之下被拉入了学校的学生会。在外人看来，学生会是美女如云的天堂，但是津田身边的三位学生会女干部性格都非常独特，津田开始了他每天学生会的吐槽生活。
此间，“红花会”欲借“南北烟花大会”之机刺杀微服南下的皇上，枪鸣弹火的行动中，“红花会”总舵主陈家洛对皇上的看法竟开始有了改变。
四郎踏上战场，与父亲杨业一起陷入绝境，为了突破潘仁美与辽国设下的死局，杨业临死之前给四郎一个秘密任务，到辽国利
就在他接连斩杀三名靖军后，正和第四名靖军搏斗，忽听弓弦轻响。
活泼开朗的高中女生小石川光希突然得知父母要离婚的消息，他们双双出轨，和另一对夫妻谈恋爱，而且两家还住在了同一个屋檐下，对方家中有一个与光希同年的儿子松浦游，智商超高运动全能，光希不知不觉间喜欢上了他。
,他们一直在一起,直到Kuea一家搬到英国居住。当Kuea上小学时,他们分开了,Kuea Keerati跟着父母一直居住在英国,直到长大。而Gilayn Wang拥有一家夜总会并经营着家族企业。
故事发生在我国云南中缅边境。跨国犯罪集团EBY组织老板吴昌泰被手下二号人物李国栋杀害，此人会中缅英三国语言，携带该组织存在世界各国的全部资产约四亿七千万美元潜入了中国境内。国际刑警组织中国局得到通告立即发出通缉令，迅速对李国栋展开了秘密追捕。围绕着这一跨国犯罪集团的行动，中国警方与各路势力，展开了一场触目惊心的殊死搏斗。影片情节跌宕起伏，悬念妙趣横生。枪战紧张激烈，武打别具一格。是一部脱俗超凡的枪战武打片。
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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 ~
