Tang Zhenhua, founder of Tiantong: "At present, the thinking ability training industry is facing many challenges. First, the number of top talents in the industry is relatively limited and there is a shortage of good teachers. Second, the good and bad products are intermingled, but ordinary consumers lack the ability to distinguish, leading to the expulsion of good ones from bad ones. Third, giants enter and crush start-up organizations with large resources. Fourth, the uncertainty of policies; Fifth, the cost of acquiring customers continues to rise. "
0-2;
全职太太令寻寻相夫教子六年却面临婚姻分崩离析，领完离婚证，出门又撞上豪车；面临巨额赔偿的她生活雪上加霜。
宠爱女友的男主角，在好友帮忙下成功求婚。男主角当晚高兴入眠。至第二天醒来，发现自己在一个陌生房间，身边多了一个陌生女子，她告知是自己的老婆，惊讶之时才发现自己来到三年之后，离奇荒诞的事接踵而来，究竟为何会这样？这三年又发生了什么事？本身的女友又去了哪里呢？
亏得瘦了，不然要挤出去还真够呛。
玄龟诧异道：咋没成亲哩？我三叔不都准备好了？李敬文道：这个我就不知道了。
5. Enter recovery mode.
改革开放初期，黎小军（黎明 饰）告别女友小婷（杨恭如 饰）从天津来到香港讨生活，期望有天挣到大钱把小婷接来与之风风光光地成婚，没料想日子会比想象中的难熬许多。 黎小军在快餐店与同样从大陆到港讨生活但避讳谈自己身份的李翘（张曼玉 饰）结识后，因为共同喜爱邓丽君，两人人在异乡的孤独都有 了某种程度的缓解，并在交往的过程中生出了真爱，可是世事难料，两人最终无奈分手，黎小军成了小婷的老公，李翘跟了在黑社会做事的豹哥（曾志伟 饰）。然而因为邓丽君，两人的缘分并没到此为止。
在有人神秘地将他的注意力吸引到了证据之后，一位无所畏惧的所得税官员袭击了勒克瑙最有权势的人的宅邸。
贩毒集团首脑“玫瑰”为报复干探龙志强，十五年前侦破其逾亿元交易，对龙狠下毒手灭门，龙幸逃过大难，且深信女儿仍在生，背后实被玫掳走洗脑及训练成美艳杀手“小凤”。小凤后来成为“玫”集团中的顶级杀手，武艺高强，每次均能完成任务，玫更因此借助这群精英将犯罪集团扩大，任务遍及世界各地。龙更意料不及成为自己女儿的目标……
除魔卫道，匡扶正义，就在今日。
Tashi: He said that the stone was hit just now, and the sheep he said was about 60 to 70 kg. If the stones are knocked like this, the sheep will run as soon as they come and go. If they turn, they can be seen on the opposite side, and if they can see it, he will estimate it.
那你可错了。
202. X.X.156
单身,不擅长与人交流的补习班讲师·大野康臣（成田凌饰）一心只沉浸在最喜欢的数学世界。虽然对现在的生活没有什么不满,但也会担心自己会不会一直一个人。自己也想普通地结婚,但不知道普通到底是什么。即使和女生约会,也会感觉有一种偏离焦点的气氛,却不知道该怎么办才好。学生香住（清原果耶饰）是指出大野不寻常的唯一对象。于是,大野向香住请教：怎么做才能变得普通？到底什么是普通？
当即笑道：不必担心，本帅有分寸，再者，本帅要是不现身，龙且会上当吗？jiāo代给你的任务，能顺利完成吗？不管怎么说打败龙且都是有好处的，再加上韩信如此厚待，灌婴点头道：末将愿意立下军令状，龙且虽然骁勇，但末将也不是吃素的。
Information Theory: I forget which publishing house it was. It is a very thin book and it is very good. There is a good talk about the measurement of information, the understanding of entropy and the Markov process (there is no such thing in the company now, I'll go back and find it and make it up). Mastering this knowledge, it is good for you to understand the cross entropy and relative entropy, which look similar but easy to confuse. At least you know why many machine learning algorithms like to use cross entropy as cost function ~
A historic case of new attacks that triggered a series of new anomalies is the Massachusetts Institute of Technology gambling group attack on WinFall lottery games in Massachusetts (https://www.theatlantic.com/business/archive/2016/02/how-mit-students-gamed-the lottery/470349/).
