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极致理性的物理学霸和漫画玛丽苏谈恋爱。一时之间，王陆也是看痴了。蔡管家急了，忙拦住他道：少爷，不说就不说。　　草医文氏上京路过保定府，“以惊治惊”，怪招迭出，果然手到病除。阎让文进京后，去找阎之旧部、现任警察署长的于世勋帮忙。京城药铺掌柜车大吹突然昏迷不醒，于世勋爱慕菊花，正为此烦恼，文三块持阎旅长亲笔信前来拜访，于立刻请文到车家施治。文三块见病人未死，却已装入棺材入殓，力推众人劈开棺材，终将车大吹救活。于托媒人1. "Heating without Combustion" Makes IQOS HeaterSorry 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 ~