23. Code: Stupid taste (random code).
我必尽全力助船主。
兰德尔·雷恩斯（尼古拉斯·凯奇饰）一个人称“孟菲斯”的窃车大盗的传奇故事。孟菲斯是个窃车高手，世界上再奇特的车锁，再灵敏的警报系统只要到了他的手里也只是件小摆设。你不信？把车停在这试试，孟菲斯一到，六十秒之内，它就会不翼而飞。多年以来他还从未失过手，法律也没法制裁他。不过他决心金盘洗手，停止这项“工作”，过正常人的生活。然而不久他的小弟弟却试图步其后尘，当他卷入一桩危险交易时，孟莫斯不得不重操一次旧业，他为了挽救小兄弟的生命，答应在一个晚上盗窃50辆汽车。而此时，警察又跟上了他。
Investment is like a cycle of farming on the most familiar land, while travel is looking for different scenery and experiencing different lives everywhere. What a wonderful life it would be to use the money earned from investment under the principle of constant conservatism to continuously realize novel journeys? But how sad would it be to do the opposite: always use all kinds of novel tricks to try your luck in the stock market to find pleasure, but eventually you didn't make any money and were tied to the computer?
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 ~
1800年前，中国流传着一种古老的拳法——北斗之拳。该拳法以人体内部穴道为打击对象，由内至外达到毁灭对手的目的。为了防止武功外泄，北斗之拳向来一子单传，只有真正的强者才可成为拳法的继承人。至琉泉一辈，他收养了三个养子，分别是拉奥、托奇和健四郎，北斗之拳终于迎来1800年来最强的时代。与此同时，地球上愚蠢的统治者发动无休止的战争，最终导致人类文明毁灭，世界堕落到暴力至上的时代。在乱世之中，三兄弟以不同的方式展开了波澜壮阔的人生……
讲述了麦克斯董事长苏聿的未婚妻顾家千金顾漫漫突然消失，苏聿不断寻找无果，顾家老爷也因此事生患重病。苏聿意外与长相和顾漫漫一模一样的便利贴女孩乔麦相遇。苏聿让乔麦扮演自己的未婚妻，来暂时安抚爷爷的病情。而苏聿也帮乔麦解决了拜金养母的多次伤害。苏聿与乔麦相处过程中，两人慢慢吐露心声，彼此也感受到了对方的心意…
100,000 people from other countries), 550,000 people died in Axis troops (500,000 German troops and 50,000 Italian troops), with a ratio of 1.7: 1 on both sides.
郑家小辈妯娌中，秦淼那是比不了的了，黄豆将来的媳妇肯定也不会差，青莲还小，若是锦鲤的嫁妆简薄了，没准就是个垫底的。
全球突然出现了很多来自宇宙巨大的“入口”，世界一片混乱、陷入危机。这些扭曲现实的入口为何出现，它们的另一端是？
根据两大新研究学者的真实故事作为背景，讲述两位新教育研究专家主人公威廉· 马斯特斯医生（麦克·辛饰）和他的助手弗吉妮娅·约翰逊（丽兹·卡潘饰）不惜一切地发起一场新爱革命的故事。他们坚持自己的信念，不理会世人封建的眼光、无惧怕身败名裂的风险，誓要作研究新学的先锋。
明末年间贪官污吏横行，民不聊生。公元一六四四年春正月，李自成的大顺军乘胜向明王朝的国都北京挺进；张献忠的起义军深入湖广！与此同时，偏居关外的满清摄政王多尔衮，在孝庄太后的授意下，率兵乘虚而入，逼近山海关，杀气腾腾。为平息遍布中华的抗清复明烈火，多尔衮派遣西王吴三桂、定南王孔有德、敬谨亲王尼堪率领三路大军南下清剿，就在这时多尔衮劳累身亡。鳌拜手握大权，作威作福。中华大地，狼烟滚滚，试问天下，谁主沉浮？
黑道商人Thanupat（Chap）逼婚Roong（Grace）的姐姐，姐姐不愿意嫁，Roong助其逃婚，不得不代替姐姐嫁给Thanupat……
There are also such ~
男主角sala（por)是一个非常富有的农场主，但是他偏偏爱上了住在附近的一个牧羊姑娘pim（Namfon)，所以他经常偷偷的观察她。而pim却觉得sala总是爱欺负她，殊不知sala只是想多靠近她一些。pim的双亲都已经去世了，只能与叔叔和哥哥相依为命。但是唯一疼她的叔叔也过世了，而她的哥哥却是一个极其自私的人，一心只想着将仅有的土地和她这个妹妹抵押出去。当她的哥哥与sala的妹妹私奔后，sala将所有的错误都归在了pim身上。由于sala的哥哥临走前向Teenamai借了一大笔钱。并以此为借口让pim嫁给他，而这时sala帮助pim还了这笔钱。作为条件sala让pim扮演他的妻子并且照顾她的女儿一年作为条件。结局如何，这对欢喜冤家上演了一幕幕怎样的故事呢？
2007年 ルパン三世 雾のエリューシヴ 雾之谜 増田敏彦
