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扬起的双手划出一条优雅的弧线，挥向旁边一棵挺拔的古松，耳廓中有轻轻的嚓的一声，树身微微一震，不见变化。DDoS attacks can be divided into many different forms. These forms include flood attacks and more sophisticated application layer attack methods/tools. Flood attacks rely on a large amount of traffic/sessions to deplete a target, such as TCP SYN, ICMP, and UDP floods; Advanced application layer attack methods/tools include Slowloris, KillApache, etc.故事发生在清朝光绪年间，因为惹上洋人的人命官司，大清国驻法公使杜长萱及女儿杜筠清被迫逃到位于山西太谷的故乡暂避风头。落难期间，杜家父女得到晋商康家的康三爷救助，筠清也对这位谈吐不俗的恩人产生好感。可是父女俩可以说才脱狼穴，又入虎口。康家和秦家两大晋商家族相互仇视，倾轧不止，为了挫败对方两家可谓是明枪暗箭，奇谋迭出。而拥有官场背景的杜长萱，无疑成为康秦两家急于拉拢的对象。最终杜筠清被逼无奈，嫁给了康三爷的父亲，而自幼接受西方先进教育的筠清，与这个封建礼教大家庭格格不入，内外纷争自然接踵而至。顺治元年，李自成在清兵的追剿下战略转移。清英王阿济格手下将领勒格及密探尾追大顺军，在九宫山布下埋伏；南明湖户总督何腾蛟请来江南奇侠私访李自成，以报大明朝与李自成的怨仇；李白成的女儿李翠微也千里寻父，来到九宫山……为了寻找李自成，各路人马展开一场激烈厮杀，“李自成”不幸倒在血泊中。大顺军军师用“金蝉脱壳”向李翠微解开了“李自成”死之谜，勒格和他的清兵没能逃脱出李自成为他们设下的圈套，葬身于烈焰熊熊的芦苇荡中。　　瑞切尔在这里刚刚找到一份新工作：新闻记者马克思·洛克（西蒙·贝克 饰）的助手，在一桩新闻事件的调查中，瑞切尔在警察局档案室中发现了一个非常神秘的“X档案”，这是一个年轻女孩的离奇死亡案，案件至今未破，现场的证据只有一盘神秘的录影带。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 ~