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　　那天，有彥就站在對街，如薇走向了有彥，她心裡有一份迫不及待的喜悅急著要分享給有彥。是一個「好機會」，公司派如薇調往上海，職位、薪水都有那份滿滿的成就感。不过项羽一系的人马进来忙于项梁丧事，也没空太过计较。故事以迎来“乒乓球战国时代”的东京为舞台，是一部描写高中生们展开激烈的桌球战斗和友情的体育青春剧。剧中的东京掀起了空前的乒乓球热潮，决定高中生优劣的不是学习，也不是打架，而是乒乓球比赛的胜败，乒乓球段位排在下面的高校要绝对服从排在上位的高校，这部剧描写的就是高校之间如同进入“乒乓球战国时代”一样，进行霸权之争的故事。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 ~熊心心中好笑，他有些弄不清楚，尹旭这番话与他而言到底算是什么？真的是尹旭对不起自己吗？从事实上好像真是如此。赵子儿看的清清楚楚，看到好姐妹惨死，顿时吓得厉声惨叫……刺客没有犹豫，立即朝着汉王刘邦扑了过去。该剧讲述了在星月朗朗的西夏村，失去记忆、沦落为冒失鬼的世界级时装设计师与明星厨师相遇后，经历成长、爱情与成功的治愈浪漫喜剧故事。