"Where I hope the company can improve"
1928
又没伤到筋骨，痊愈起来也快的很。
住在六叶町的双胞胎兄妹・王道游飞和王道散步是经营着有点危险的宇宙人驱除业社・UTS（宇宙人纠纷咨询所）的小学生。用游飞制作的神秘装置寻找外星人，每天都过着徒劳而辛苦的生活……没错，直到那天为止！！
《红楼丫头》取材于文学名著《红楼梦》，是一部对《红楼梦》中丫环的故事进行了创造性改编而成的二十集电视连续剧。该剧依据原著精神，大胆拓展创作空间，不乏风趣幽默，精彩纷呈。《红楼丫头》对袭人、晴雯等主要丫头的不幸身世、遭遇及悲惨命运进行了深入挖掘，采用影视手段对原著中丫环们的人文历史进行了充分展示。这些丫头们，她们也有对爱情和自由的热烈向往与追求。《红楼梦》女奴世界里的丫头们，在中国文学史上第一次走出……
12年之后的新系列，雾山（小田切让）将从美国FBI回到旧时的时効管理课，另一边、三日月（麻生久美子）已经升任交通课课长补佐，因为等不到雾山回来，期间和刑事课的刑警结婚、后来又离婚的设定。
出身香港富裕家庭的马嘉慧（范冰冰饰）在上海认识装修判头方志毅（姜武饰），因连串误会，彼此印象甚差。志毅自妻离家出走后，独立抚养两名儿子。一次交通意外中嘉慧失忆，阴差阳错下误认志毅为丈夫。自此嘉慧便与志毅一家三口同住。本来骄生惯养的嘉慧渐渐对方家上下产生感情，亦把自己当成孩子的母亲，志毅的妻子。正当一家人感情渐浓之际，嘉慧的记忆突然回复过来，一家人面临分离。嘉慧虽回复马家大小姐身份，但对志毅一家依然惦记。原来当日交通意外，竟与其叔亏空公款有关。在调查中，志毅受伤昏迷，更被控强 奸嘉慧。此时志毅妻突然回家，微妙三角恋爱，到底最后嘉慧情归何处？
姚依因为要寻找失踪多年的父母进入了篁岭雾隐村，不料途中同伴们离奇失踪，寻找未果，后再次进去篁岭，却发现村里多了很多人，这些人似乎都跟一起事故有关。
也不许混战，要一对一地决一死战，不然不算英雄，也不知道我们家将军会不会听你的。
小姐妹们之间彼此有些暧昧怀疑是lesbian，友达以上恋人未满还是真百合。——橘里橘气译制组
2. In addition, you can also use flow cards to surf the Internet, such as wireless network cards with mobile phone cards. When flow is turned on, you can also connect on a tablet computer.
[Traffic] Take 803, 5 and 14 to Quanzhou Forest Park Station.
卫斯理和罗约翰到日本度假,偶遇正在协助日本警察 调查神秘凶杀案的白素。白素仍有心结,不肯接纳卫斯理, 要卫斯理离开日本。罗约翰却在机缘巧合下遇见了酷似自己初恋的女子无名。无名的神秘出现，使罗约翰处于爱与正义两难抉择中，而卫斯理和白素也因此卷入了新的风波......
本作的主题是妄想×美食家。出版社的漫画编辑部员，被仰慕为“骰子”的地方小圆，是寄予厚望的营业部员？这是一部描写为了接近八角直哉，和他吃了同样的东西后再体验的爱情喜剧。在续集中，原作中没有的原创故事描绘了在前作中看起来像是结合在一起的骰子和八角的恋爱的去向
板栗哈哈大笑，跺脚道：这下好了，你这身官服可香甜了。
警视厅公安五课的警部补冰室沙也香（松雪泰子 饰）为主角（青木崇高 饰）的学长，也是佐久间班的成员，由于某种原因与其搭档而引人注目，并且还与内部间谍S合作。
小葱见她脸上满是喜色。
来历不明的神像，引发一连串不可思议的怪事……三十年前，一苗人托谢罡（刘兆铭）代其保管神像[老洞]，谓它能令罡致富。罡随即发迹，成为雄霸黑白两道的上海大亨，但却身中蛊毒。罡之好友夏长清见利忘义，竟将[老洞]的秘密告知日本人。罡之次子尚玮（董玮）略带神经质，他爱上女间谍叶清华，虽知华为偷取[老洞]而接近自己，仍不揭穿她。三子尚楚（刘德华）自信稳重，虽深得罡信任，却不欲接管其生意。楚与展邦（吕良伟）情同兄弟，却同时爱上甄素心（庄静而）……其后华离奇死亡，玮与[老洞]同时失踪，谢家势衰落……怪事连连，祸劫接踵而来，究竟这一切与[老洞]有何关系？
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 ~
