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We Young -- EXO & 朴灿烈(EXO) & 吴世勋(EXO)8-Wood Lignum一个男人无法克服自己的个人不安全感，导致他对任何事情都产生怀疑，而这也给他的妻子和儿子带来了极大困扰....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 ~程小明这一说，周围的人彻底忍不住了，都笑了起来，就连一旁扮冷酷的陈洋也笑了起来。　　之前无线曾在k100节目上向观众承诺将在华视《包青天之五鼠闹东京》单元播毕后播出续集，为不惹口舌之嫌，无线遂立即在香港组织人员开拍港版《包青天》，并高价请来狄龙演出包公。该剧一拍就是80集，共有16个单元。每个单元有充满传奇色彩，而当中发生的奇案都涉及法理与人情，每个主角的背後都藏有一段不为人知的过去。而且因为弃用了台湾制作班底，使得港剧更像一部香港古装涉案剧，少了鬼怪神话因素，彻底将包大人凡人化，因此，该剧一经播出，也获得了不错的收视。1930年代的魔都上海争夺名利、明争暗斗、纸醉金迷。被视为阮玲玉接班人的"电影皇后"孟思凡(林心如 饰)、出身大帅家庭的不知名小导演顾维邦( 杨祐宁 饰)等一班寻求着各种自身所需的青年人，也把这里当做梦想的孵化器。