Using iptables-save does not save the current iptables rule, but you can output the current iptables rule to the screen in the "saved format".
村小唯一的老师参加了抗日游击队，秋阳姐将村里的孩子们组织起来成立的儿童团。勇敢的儿童团员们不仅冒险掩护了受伤的八路军侦察员，还巧妙地躲过了日伪军的盘查，将500支红缨枪头运送到了牙山。孩子们用自己的方式表达了拳拳报国之心。
每家公司的公关部都应该是个特殊的存在，徐风手下就有这么一群妖孽，各有一技之长，关键时刻总能发挥作用，而他作为团队的领导，合理地给每个人分工并让他们发挥出最大的潜力，就是他要做的事。
If the size of the PCB is less than 40 mm × 40 mm, the V-slot should be opened deeper than normal, such as 1.6 mm thick board, two
这会子，医学院就在家门口，又不是找不到大夫，咋还能麻烦小葱哩？秋儿听娘这么说，虽不大赞成，却也没吱声了。
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HBO北欧的新科幻剧《过来人》(Beforeigners，暂译)发布预告，设定有点意思：一道光芒海中闪过，全世界开始出现一些过去穿越来的人，从石器时代，到19世纪……这些“过来人”无法回去，只能在如今生存下来，并不受欢迎。几年后，一个维京时代穿来的女子当了警察，她和另一人组队，开始调查一个“过来人”被谋杀案件，逐渐引出大阴谋，和他们为何穿越的秘密。
他大张旗鼓攻城根本就是给杭州逃亡的时间，百姓最好走干净，高官家眷抱团逃亡，刚好一网打尽。
上海滩刀光剑影，人人为追求自身利益不择手段，三分天下的局面亦逐步分裂。随后日军大举侵华，上海沦陷，乔傲天、龚啸山、翟金棠三兄弟终归各走各路。走在乱世之中，谁又能成为上海滩最后的赢家？
毛头小子云不器意外来到贞观年间，遇到了与逝去女友长得一模一样的女子李安澜，与其产生纠葛，只好冒用祖先“云烨”之名，被迫在唐朝生活。他不懂政治，也不懂军事，但注定在这个由剑和笔渲染的时代，用一己所学书写不一样的故事。
板栗看着秦淼跟一头狼对峙，他却不上前帮忙，而是在一旁戒备指点，让她单独斗狼。
又将他头发打散，垂直披在肩后，额头箍上公主的那串绿玉首饰。
卫斯理为唤醒昏迷的爱人白素,求助于拥有着超凡能力的蓝血星人方天涯。方天涯在三百年前的一次意外中坠落地球,当时和她一起的还有他的爱人洛卡,两人失散。三百年间，方天涯一刻也没有放弃过寻找爱人。作为回报，卫斯理答应帮助她寻找洛卡。
AI is in the current air outlet, so many people want to fish in troubled waters and get a piece of the action. However, many people may not even know what AI is. The connection and difference between AI, in-depth learning, machine learning, data mining and data analysis are also unclear. As a result, many training courses have sprung up, which cost a lot of money to teach demo and adjust the participants. They have taught you to study engineers quickly and deeply in one month, making a lot of money. We should abandon this kind of industry atmosphere! In my opinion, any AI training currently on the market is not worth attending! Don't give money to others, won't it hurt? -However, when everyone taught themselves, they did not know where to start. I got a lot of data, ran a lot of demo, reported a lot of cousera, adjusted the parameters, and looked at the good results of the model. I thought I had entered the door. Sorry, sorry, I spoke directly. Maybe you even sank the door. In my opinion, there are several levels of in-depth study of this area: (ignore the name you have chosen at random-)
Q: Which machine learning library do you like best?
2011.07-虞美人盛开的山坡
在盛唐背景下，那个时代是人类、妖族并存的，然而，人类、妖族的混血儿李玄的出现打破了暂时平静的世界，一场大的阴谋正在滋生，藏在暗处的人蠢蠢欲动，期间，李玄、妖族女间谍苏犹怜、幻世恋人龙薇儿之间的也出现了情感的纠葛……彼时，已经是拯救人类的英雄的李玄却陷入了两难的境地，人族败，母亲死，妖族败，他便为人族叛徒。最终，李玄战胜石星御，破坏长安大阵，释放了被人族囚禁的妖族，一场战争被化解，人妖两族获得了暂时和平，但代价惨重，守护人妖两族，重建长安的责任落在了李玄身上。
Super Data Manipulator: I am still groping at this stage. I can't give too much advice. I can only give a little experience summarized so far: try to expand the data and see how to deal with it faster and better. Faster-How should distributed mechanisms be trained? Model Parallelism or Data Parallelism? How to reduce the network delay and IO time between machines between multiple machines and multiple cards is a problem to be considered. Better-how to ensure that the loss of accuracy is minimized while increasing the speed? How to change can improve the accuracy and MAP of the model is also worth thinking about.
武梅抽丝剥茧耐心侦察，终于迫使“钓鱼
