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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 the first episode, Wu Xiaoming, a 1977-level college student and dean of Fudan College of Fudan University, and Yu Lizhong, a 1978-level college student and president of NYU Shanghai, were invited to tell the story of taking the college entrance examination that year: How did you feel when you suddenly heard the news of resuming the college entrance examination after years away from class? How to review for the exam under the difficult environment of going to the countryside? How to choose your major and what are the test papers? When they finally step into the university campus, what kind of mental state do they learn? Forty years later, how do they view this bitter and happy past?郑氏和张老太太一齐反对，骂大苞谷胡闹，这事也是能用来赌的？大苞谷不理他们，迅速吃完，一挥手道：回去读书。10多年后，天白长大，外人的闲言琐语使他分外仇恨生父…该剧讲述生活在谎言中的男主人公，与怀疑共同生活14年的丈夫是连续杀人犯的女刑警之间发生的故事。Reliable verification methods, reference to other competitions and reading related papers, as well as good self-control and psychological quality.　　十五年前苏南盘溪镇，著名扇庄“孤烟堂”在一夜间突遭灭门的悲剧。林家长女林含雪幸免于难，落在“多宝阁”扇庄庄主徐宝堂家。徐宝堂因溥仪十岁诞辰进贡的极品骨扇而获“皇上”的褒奖，被钦点为小朝廷内务府的采买，赏三品顶戴。徐宝堂回到盘溪镇扇庄，立即把皇上奖赏的玉镯送予小女儿含雪，因为扇面上狂放的劲草就是她的杰作，但含雪却从端康太妃亲赐的文房四宝中挑走了湖州笔。