莺莺燕燕翠翠红红处处融融洽洽。
No. 88 Ho Ngoc Ha
1959年的四月十六日，对于51858部队一营营长石峰来说，是一个既难忘又庆幸的一天。石峰美貌的妻子给他生了一个大胖小子，更让他合不拢嘴的是寻找多年的救命恩人梁步贵也终于让他找到了。对于石峰来说，儿子和梁步贵在他心目中有着同样重要的位置。生性豪爽、做事干练的石峰根本就和举止文雅、满腹经纶的梁步贵不是一路人。在石峰的眼里，梁步贵就是一个弱不禁风的秀才；而在梁步贵的心目中，石峰无非是一个头脑简单的莽夫。石峰一直认为梁步贵胆小怕死。可是在朝鲜战场上，梁步贵在关键时刻挺身而出，舍身救己的行为彻底让石峰改变了对他的看法。两人负伤后，不久石峰又重返了前线，而梁步贵因为伤势过重被送回国内医治。就这样，两个人一别就是7年。生死至交久别重逢，喜悦心情难以言喻。可当石峰得知梁的近况后，深深的自责敲打着他那颗善良的心。梁步贵和冬柳结婚后一直没有自己的孩子。经医生检查才知道，就是当年在战场上掩护石峰而落下的病根。梁步贵这一生也不能再生育。当他发现妻子冬柳渴望有一个自己的孩子时，他才意识到这一辈子他欠妻子的这份情
花开了！你还在！如果，青春可以重来，也许，只是也许~~~
Norton 360 version 2.0/3.0/4.0/5.0/6.0
That is to say, a total of false syn messages will occupy the TCP preparation queue for 63s, while the semi-connected queue defaults to 1024, which is different by system default and can be viewed by cat/proc/sys/net/ipv4/tcp_max_syn_backlog c. That is to say, sending 200 fake syn packets per second without any protection is enough to burst the semi-connection queue, thus preventing the real connection from being established and responding to normal requests. The end result is that the server has no time to ignore the normal connection request-denial of service.
从插队知青变成“保姆”的奚美娟，女儿因是当红歌星而对其实是生母的“保姆”态度骄横跋扈，面对身为雇主的亲生女儿却含泪不能相认。《保姆妈妈》还有更多的现实故事元素，如巫刚扮演的大学教授当年在做知青时，曾为前途不惜抛妻弃子，高露扮演的红歌星未婚先有子等，都是社会上各种现象的缩影。
《母子连心》主要讲述了一对母子二十多年来的情感纠葛——儿找母、母寻子的故事。折射出当今社会一些人在金钱和利益的驱动下失去对社会的责任感、家庭的温暖以及亲人的关爱。
Channel 4及Netflix合拍的间谍6集剧《叛国者 Traitors》（前名《Jerusalem》）由Michael Stuhlbarg﹑Emma Appleton﹑Matt Lauria﹑Keeley Hawes及Luke Treadaway主演，Bash Doran主创兼执笔﹑Dearbhla Walsh及Alex Winckler执导。《叛国者》背景在二战后，20多岁﹑充满野心的Feef Symonds（Emma Appleton饰演）于1945年加入了文官队伍，她因为情人Peter（Matt Lauria饰）及他的狂热同胞Rowe（Michael Stuhlbarg饰）影响下答应为美国监视自己的国家，以确保英格兰正蓬勃发展的社会主义不会受苏联利用。Keeley Hawes饰演Feef的严格上司﹑Luke Treadaway饰演新当选的工党国会议员。
基于Armistead Maupin所著同名系列小说，讲述Mary在为了追求事业而抛夫弃女二十年后，回到现在的旧金山，与女儿和前夫布Brian（保罗·格罗斯饰）重聚。逃离了貌似完美的康州生活所导致的中年危机，玛利·安很快就被拉回Anna、她所选择的家庭，还有巴贝瑞巷28号新一代奇特年轻住户的生活轨道上。
Kitaca, PASMO, Suica, TOICA, PiTaPa, ICOCA, nimoca, SUGOCA
LauchMode
这是一个关于青春、梦想、和帮派的故事。学校里一个女生要举办一场钢管舞会，希望通过舞会接触人们对钢管舞的偏见，但在这场舞会的背后却隐藏了许多不为人知的秘密，有激烈的帮派斗争，有复杂的爱情争斗。有人带着不可告人的秘密接近他，也有人带着单纯的喜欢守护她。在她举办舞会的同时她得到了不同方面的支持，但在这些支持力量的背后，却有着重重利益关系……. 这所有的一切究竟是利益的驱逐，还是每个人性格的扭曲，直到最后都带着扑朔迷离的色彩。
Anyway, Those 20 minutes are really like years for every minute. After that, there were several repeated exchanges of fire. Anyway, there are more or less injuries, Especially the purple venom, It's terrible. You have to peel off a layer of skin when you touch it. Fortunately, with Wang Yuanhe's experience, everything that is splashed is covered with floating soil. However, there is no good way to be bitten by that kind of monster like a dog. You can only do it hard. These two strange things have left some marks on my body, which is regarded as a "souvenir" for me to take part in the war. " When Zhao Mingkai said this, First he collapsed to hold the trouser leg of his left calf, When you pull it under your knee, put it on one side of your leg. Motioned me to look, Only then did I find out that there was a defect the size of an adult fist in his calf. The skin on it is wrinkled, Don't think, according to what he said before, This must have been caused by a dog-like "living biological weapon" bite, And after showing the bruises on his legs, He showed me the tiger's mouth on his right hand again. There is also a large scar on it, According to what he said, he was splashed with the purple venom in the last battle before the artillery group resumed firing. At that time, the epidermis quickly dissolved and rotted, so that the thumb ligament inside could be seen. However, the rescue was timely and the hand was saved. However, the scar with such a large area and a large depth could never be removed. In his words, this is also a special "memorial".
在狱中绮梅与千手观音结为好友，并在岛上产下一女。千手观音不想让幼女卷入尘世，将之送入尼姑庵，主持将她取名为洁莲。但20年过后，练下一身武艺的洁莲还是因杀气太重犯下杀戒，被逐出寺门。洁莲从干娘千手观音口中终于得知自己身世，决心报这一血海深仇…
童大人离得远，没听见，心里痒痒的。
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 ~
Coding.py
