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岳喜旺和母亲住在南方海边的云碧村。虽然家里不富裕，但是他是个乐观向上的人。他秉性耿直，助人为乐。一位神秘的老人的出现，揭开了岳喜旺身世的惊天秘密，原来岳喜旺是环球制衣董事长岳广福丢失22年的孙子。爷爷终于在离开这个世界之前找到了他。喜旺的生活从此发生了天翻地覆的变化。爷爷的遗嘱里，要求他和自己同父异母的兄弟通过三场时装秀用实力赢得继承人的位置。经过一年的洗礼。喜旺赢得了比赛，也赢得了兄弟的尊重。兄弟二人都各自找到了真爱。前前后后这么多事，都看得出此人很不简单，胸怀大志深藏不露也是可能的。Fu Ying told Yu Ying that she regretted becoming Fan Ren's daughter and Yu Ying slapped her angrily. Qinglan cried out to Koko, who angrily asked her to move away immediately. Kezi asked Yu Ying to come and prepare food for the Spring Festival as soon as possible. Yu Ying angrily told Yi Shang that he would make his own food first and would pass later. When Yi Shang and Ma Tan heard that Fu Ying had run away from home, Ma Tan looked everywhere for Fu Ying. Koko angrily blamed Yu Ying for arriving late. During the Spring Festival, the family sat around for dinner. Shang Tai and Zhong Nan started to fight. Soon Qinglan and Youmei, Health and Xuancha also started to fight.暖心喜剧呈现洋气新东北小人物的大群像，小康新年阖家欢展现漫漫烟火气，抚慰纷纷凡人心。冰雪童话之境，程家的三个女孩儿开启归家寻爱之旅。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 ~Process: