For example, if you work with images, you can use existing pre-trained models (https://keras.io/applications/), while if you work with text, you can use common data sets, such as Toxic Comment's Jigsaw data set.
For backbone networks, the data sent and received by these zombie hosts are real data, which is difficult to distinguish from normal traffic data.
"This time we can get that position out of danger, All by one radio station, At that time, we used rifle butts, stones, bayonets and even belts and helmets to fight these rats hand to hand. But I can't, There are too many of them, And you can take care of the earth and not the sky, Either killed by a big mouse or stung by a big wasp, Even some soldiers were anxious and hugged with big rats. And bite it with his teeth, However, this will not change the overall situation at position 149, which is very unfavorable to us. So it didn't last long, Seeing that the position was about to fall, The impression is that a person in our company, Should be a company correspondent, He sent the message directly to the back on the radio. Request the artillery to cover position 149, To live or die with the position in the way of "firing at me", Because I was very close to him, So I could hear what he was shouting, I thought I wanted to die bravely, But in the end, Through the superior order he conveyed, The response we got was to evacuate us to a hillside due north of position 149 in 3 minutes. This means that we have to give up the defense of the main position for the time being. To be honest, He had already killed the red eye, No one wants to withdraw, Watching his comrade-in-arms get along with him day and night be stung to death by a big wasp, I was killed by a big mouse, and I was always left with a dead body. All of them were bent on killing one more one to avenge their comrades. I remember very clearly that I saw with my own eyes that at least three comrades had been bitten off their arms and necks by that big mouse. One of them had his stomach bitten through and his intestines flowed all over the floor, but they were still fighting.
看过这么多武侠小说，我一直都在想江湖到底是什么？绝世武功，大侠美人，快意恩仇，以暴制暴，恩怨杀戮，正邪大战？看了《笑傲江湖》电影后。
皇牌公关香广男被誉为城中盛女救星，常以出位手段帮助单身女性客户找到美满姻缘，自己却独善其身，选择短线恋爱，新上班的客户主任盛花蕾，误会广男及其大哥香善男和同事董天骄、毕奋强合称的supersenior组合喜爱夜蒲寻欢，又见广男为追求下属袁萱将她捧为网络歌手，因而不耻广男的所作所为，直斥他是烂滚港男，籍工作亲近女性。身为袁萱的姑姐袁琛同样对广男恨之入骨，经常在自己的专栏恶意抨击广男，但广男对这一切都不以为意，依旧我行我素，直至前女友突然现身，令各人关系出现戏剧性逆转，引爆前所未有的港男剩女大激战
I waited quietly for a while. Zhao Mingkai recalled it and organized the language. Only then did he open his mouth and said:
Is this it
听杨长帆说如此重话，胡宗宪终是闭口。
兄妹三人说得煞有介事的模样，众人先是愕然，接着轰然大笑。
该剧讲述了演员孙武铉将在剧中扮演演员姜叙俊，凭借完美的外貌和天赋，出道以来从未出现过下滑趋势。仿佛天上的星星般发光的他，因为某件事情进入了厨师韩智宇的世界，经历了微妙的情感变化。演员金江珉将扮演暖男厨师韩智宇，一直以坚韧不拔的韧劲向着目标默默前进，因姜叙俊的闯入陷入一生一世的混乱之中，随着光年推移，他们互相鼓励相爱着。
1927年4月12日，蒋介石发动了震惊中外的“四·一二”反革命政变。在反革命“清党”的腥风血雨中，板凳的大师兄常墩子身为一个共产党员，在执行任务的过程中惨遭敌人的杀害。临终前，常墩子将一个流浪儿红儿托付给板凳，板凳便由此踏上了“九死一生”的险途。
金明洙饰演初精英原则主义法官“林巴伦”一角，他是以高分考取名牌大学法学系、独来独往的法院个人主义者法官。虽是精英中的精英，却对晋升没兴趣，对任何事都很冷淡，只按原则办事，认为以个人的同情心和善意来判断是滥用职权。
陈恭对春梅的喜欢自始自终，属于痴心绝对型。
Nature is a spell.
似乎，说什么话都多余，送什么东西都没用，他们，简单质朴到什么都不需要。
当还是很和平的时候，世界突然出现了一个企图侵略地球的邪恶军团“黑暗十字军”，地球受到无尽的威胁。在这时，联合国组成了一支地球保卫联盟的军队。这支军队被分配到不同角落，其中一支就处于日本。“黑暗十字军”开始在日本不同地区破坏。
《我的美女老师》改编自网络热门修真玄幻同名小说，是一部结合了校园青春和修真玄幻的轻喜剧风格网络剧。讲述的是大学毕业的秦朝，偶得魔神附体，无意中救了身份神秘的大学老师苏姬，从而打开了他的修真之路，成了苏南大学的保安，发生了一连串的奇遇，不断拥有了各种修真法力，收获了和苏姬老师的爱情，奇遇、夺宝、天生魔体，校园故事，奇遇连连•偶像剧的面孔，青春剧的浪漫，玄幻中又不乏诙谐，堪称都市修真剧里的经典之作。
