So the construction of a simple instance based on Dockerfile is completed, and now the construction is based on this Dockerfile file by adding other instructions in turn.
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 order to reach a rich level of green coloring,
YUMMY家在小区内开着一家多功能宠物中心MOCO HOUSE，每天她的宠物狗MOCO作为她的得力助手都会来到这里。MOCO HOUSE对比现在（2019年）的宠物店而言，是一个接近现实又超越现实的宠物中心。
现在的局势对我们很是不利……是啊，得赶紧想个办法才是。
三人跟着脚印，发现很多奇诡的事情，鞋印居然飞上三米高的墙头。一跃三米高，这是什么人？脚印居然跃过七米远的沟壑，闽玥越发觉得诡异。三人费尽心血奔波，跟着脚印走到一个小山谷，三人，一只大雁正挣扎着啄开脚上的大鞋子。三人明白自己被耍了。
警察局长雷进（李修贤 饰）接了一宗盗窃案，经过调查原来是危险人物李军（游航 饰）和女毒枭利用高科技手段联手作案。局长雷进决定把此重担交给屡破奇案女刑警田亮（颜仟汶 饰）。经过长时间跟踪监视田亮终于发现了一点点线索，雷进亲自上阵配合田亮，最终将嫌疑人绳之于法……
当时的嬴政（林峯 饰）还没有登上帝位，更被囚禁于赵国。少龙为了能返回未来，便不惜一切帮助嬴政顺利登上帝位。由于少龙的机智过人与特殊身份，他的能力得到了众人的赏识，因此他也遭到了多方奸狡之人的暗算。
故事发生在上个世纪50年代末至本世纪初，讲述的是北京广播专科学校女大学生文艺秋与同学万声、同事宋绍山、苏联功勋播音员卡佳等人之间的曲折爱情故事。由于特殊的时代背景，这段跨国恋纠缠了几十年，主人公之间历经着离别、相思、等待、重逢等重重磨难，但是每一个人都没有放弃对于爱情的执着与追求。
Go
故事讲述了一场异度空间里的明朝（皇帝姓马，皇后姓朱）初期跌宕起伏的宫廷斗争！军师诚意伯徐伯明（对应刘伯温）与丞相卢惟龚（对应胡惟庸）之间的次终极较量！
现在，为了相同的目的，需要他们做另外一些事情。
Li Dong, 20,000 Yuan [[Exclusive] Central Enterprise China Resources Land Takes over Anbang's Domestic Residential and Commercial Assets], Editor Li Shen [China Resources Abandons Anbang's Assets Vanke Midway, and the Disposal of Jindi's Shares Has Not Been Finalized]
《爱与梦飞翔》并不是柯受良传奇，但剧中主角，却有柯受良的影子。一个渔村长大的小子，经历挫折成长，最终成为一位出色特技人。
Encouraged Hero Anger: When Qi and Blood are less than 10%, when critical strike, total damage * (1 +0.9).
由著名女笑匠Amy Poehler联手\"The Office\" 的 Michael Schur制作的喜剧《parks and recreation》已经昂首迈进了它的第五季。此片依然采用纪录片的拍摄手法，记录发生在虚拟的印第安纳州小镇Pawnee，公园与游憩部门里发生的 种种趣事。我们的Leslie Knope (Amy Poehler)，上季末她还是公园与游憩部门的副部长,如今已荣誉晋升为Pawnee的市议员了。这一季故事线有着多种悬念，比如我们的Leslie(Amy)和她的Nerd男朋友Ben Wyatt（Adam Scott）的远距离恋爱能坚持下去吗？Leslie史上最酷的前BOSS Ron Swanson（Nick Offerman）能迎来爱情的第“三”春吗？
