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也不想想，若是秋霜真像他说的那样，首先就该把他送去县衙。　　Tim Roth主演的新剧#Tin Star##双面警长#确定英国方面9月7日播出，故事发生在加拿大一个偏远的山区小镇，由于这里成为石油开采地，外来人口不断增多，一些违法犯罪分子也来到此地，犯罪率不断攀升，就连吉姆·沃斯警长（Tim Roth饰）也沦为暴力事件的受害者，家庭遭受重创，随后他走上了自毁的道路，想要复仇...II. Single Case Mode《纸钞屋》描述一群抢匪袭击了纸钞大楼，抢走 24 亿欧元，成为西班牙史上一次最惊天动地的完美抢案。日积月累的疲倦吞噬了兄弟俩残留的孝心，哥哥无奈离开了白发苍苍的母亲，恋恋不舍的离开了病床上的父亲。弟弟年少轻狂，出言不逊，母亲的病倒，让他彻底崩溃离家出走。面对哥哥和弟弟的相继离走，小云痛在心底，留下孤单的自己照顾双亲，正当一切仿佛平静中，母亲举起瘦弱的手，揭开了尘封多年的秘密，小云不知所措的翻出箱子里一张泛黄的信签，一阵婴儿的哭声打破天际…..几组蒙太奇镜头，婴儿的脸，赶着牛车的夫妇，夕阳西下的银铃般的笑声….信签顺着小云的手指滑落，泪水滴落在信签上…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 ~