该剧根据英国同名剧集改编，故事描述四个女人的秘密恋情及「自我发现之旅」。她们随时都要面对丑闻、绯闻、秘密、阴谋与背叛。讲述了四位女主人公在不体面的恋情中寻求刺激、找寻自我、隐藏秘密、经历背叛，最后从这种复杂的关系中解脱出来的故事。
爱德华到洛杉矶出差。一天夜里，他向他的朋友——律师菲利普借了一辆高级轿车想出去解闷，却不知不觉将车开到了红灯区。在一条林荫道上，迷失方向的爱德华只好向一位年轻漂亮的妓女维维安问路。维维安的美丽活泼吸引了爱德华。在付出一笔小费之后，维维安答应送他回旅馆。当回到套间里时，爱德华已经不想让维维安离开了。于是他又继续“雇”了她一夜。
可是大哥并未按照期望的那样做，也就是说今日必须要出现兄弟相残，你死我亡的局面。
严嵩当权多年，在这一天，终于有了破绽。
嗤啦。
事业前景光明的年轻歌手在霸道家人、业界压力以及对女友的爱恋之间难以抉择。
Episode 1: The Russian HouseFoyle stumbles upon an international cover up, which, if exposed could bring down the British government, and reveal the War Office’s darkest secret yet.Episode 2: Killing TimeFoyle goes head to head against the might of the US army, as racial prejudices erupt when a local girl is found murdered, and the finger of suspicion points to a black GI at the US military base.Episode 3: The HideThe newly retired Foyle battles to save a young man accused of high treason from the executioner’s noose, in a case that will shatter his personal world to the core.
城市进行，全国范围内选取的优胜者逐步晋级，再逐一淘汰。《Super Star K》成就了平民对于歌手梦想的追逐和狂欢。
我脸上有什么不对么？戚继光问杨长帆。
胡家也不会护胡镇到今日，早死了八百回了。
当他的新女友因技术原因被驱逐出境时，罗斯雇用了一名假丈夫将她送回乡下，因为他还没有准备好结婚。
搬到吉祥寺的一间合租房的，有高中教师安彦聪（增田贵久饰）、原时尚杂志主编大庭樱（田中美奈实饰）等，性别、年龄、职业各不相同的6个人。据代理房东说，这是一群从17比1的竞争率中选出的“失败者”。 另外，住在这里的规则是绝对不能进入上锁的房间。充满loser的奇妙的共同生活现在开始。
该剧讲述1941年地下党林峰临危受命，打入军统陕西省省室，代替孪生哥哥高明出任副主任，营救我党的同志。
逃走的毕龙接到了策划这次杀人案的电话，并且得知只有按照他所说帮他找到些东西才能摆脱杀人的罪名，毕龙只好按着他所说的做。
好在高易水性极佳，众人商议后便选择这处河边伏击，倒是高易只需想办法纵马跳河，游到对岸自有陆明等人接应。
莫希干家的家庭会议
"Vietnam is rich in bamboo rats, I did hear some veteran comrades who took part in the 79-year border counterattack say that, It is said that many wounded and sick people did not have time to withdraw from their positions and were bitten or even killed by bamboo rats. This has happened to both the Vietnamese army and our side. Moreover, bamboo rats also like to go out collectively to eat the bodies left over from the battlefield. Is it because swarms of bamboo rats attacked position 142? However, the size of bamboo rats is not large, so it seems a little inappropriate to say that they are "big rats". "I went on to ask.
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 ~
