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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 ~With everything you like侥幸，侥幸，托世伯的福，我原来天天在这里研究，还是能摆弄两下的。……已经临近八点，越来越多的人因为各种各样的理由，打开电视机，按到江南卫视台，耐心地等着。赵久哆嗦了一下，急忙道：属下这就去问。该剧讲述了关于一个女人的故事，林之茵茹苦含辛、历经磨难，为爱苦等大半辈子。故事发生在二十世纪三十年代的民国，山西一个偏远的小山村。村里的保长为了趋炎附势，把自己的女儿嫁给了县长的儿子，并从女儿口中辗转得知了一条旱涝保收的消息：在村里建个“李忆莲祠堂”，就可以获得县里拨发的巨额救济粮和银元。虽然不太明白县里的意思，但是贪财的保长立马勾搭了村里的族长，开始筹谋这桩买卖。