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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 ~In fact, we also need to pay attention to one thing, Because when a packet passes through a chain, All the rules of the current chain are matched, However, there must always be an order when matching. We should match one by one, and we said that rules of the same functional type will gather in a "table". Then, which rules in the "table" will be executed at the front of the "chain"? At this time, there needs to be a priority problem. We also take prerouting "chain" as an illustration.1978年，我国实行改革开放,以邝铭筹、洪雨桥、周定北等为代表的科技工作者，他们顺应改革开放潮流进行艰苦创业，同中关村的成长一起，不断尝试、失败，不断创新、改革，他们终于迎来创业的逐渐成功。邝铭筹、周定北、江城等人的事业迎来蓬勃发展期，项目得以接续并如火如荼展开。而洪雨桥也因郝兵导师组装电脑的事件看到了巨大商机，同郝兵一起组成事业搭档，成立了公司。至此，各种形式的公司如雨后春笋般在白颐路上出现，创业者们在一间间窄小阴暗的陋室中开始了筚路蓝缕的创业之路　　并宣布阿尔菲·艾伦(《权力的游戏》《铁血战士》)和艾什·亨特(英版《汉密尔顿》、《秘密间谍》)新加盟，饰一对性格截然不同的兄弟：艾伦饰演Isaac Pincher，一个雄心勃勃、难以捉摸的七年战争老兵，他回到伦敦，与人合伙开了一家名Saracen’s Head的酒馆，这是他们从事性工作的幌子。亨特饰演Hal，是Isaac更安静、更谨慎的兄弟，也是这家公司的联合老板，他将在本季与激情四射的性工作者Emily Lacey谈恋爱。Lacey和皮条客有一个共同的目标——用他们的生命去实现一些事情。The learning platform launched on that day is called "Learning Power". No matter from the time node, the attendees or even the names of the platform, it obviously has a very heavy weight.从前这种事是可不想像的，但严世藩为了不去东南也算下了血本，官职什么的，老子不要也罢。奇遇 片岡鶴太郎 仲本工事