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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 ~…,随即目光落到高易、陆明和同大三人身上，说道：山yīn的成绩我都看到了，这两年辛苦你们了。小叔来信，让我去汪将军那里，他是石头叔的叔丈人，再说，云州还有咱们的产业，我在那呆过两年，也熟悉些。将军有些敷衍地挥手慰劳过后，便让千户将队伍解散，然后像哆啦a梦一样不知从哪里掏出了本子和铅笔一样的东西，简单记录了一些东西，而后开始速写。屡考不中的秀才杜云腾（陈浩民饰）阴差阳错的被误认成为欢喜县县令，与知晓杜云腾底细的捕快麦亚堂（林子聪饰）上演了一场夺权大战，并与欲卧底在衙门的女山贼曹天娇（林源饰），冒牌神医后人华盈盈，以及自卑的武功高手小强等人组成欢喜县衙。在两种价值观的碰撞之下，杜云腾与麦亚堂斗得难分难舍，从官场斗到情场，两人也在不知不觉间被对方所改变。他们联手破获案件、整顿欢喜县、惩恶扬善铲平恶霸、修建学堂造福百姓，在这过程中他们发现并最终成功地挫败了一场巨大的阴谋。In other words, their daily income is 50 rupees. In fact, as long as the hawker does not spend all the 50 rupees, he saves 5 rupees a day for the next day's purchase. Due to the compound interest effect, they only need 50 days, so they don't have to borrow the 1,000 rupees.