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身居高位，也有很多身不由己，现在田荣大军来犯，齐楚两国正在边境线上大战。中年男人高宝生是某大学副教授，他为人正直、风趣，多年来与女儿高晴相依为命。女儿高晴是一个现代与传统意识并存的年轻人，她极力赞同父亲再婚，还将同学大李的单身母亲郑秀岚介绍给高宝生，郑秀岚的热情过度使高宝生哭笑不得，笑料迭出。他情有独衷的是二十年前初恋女友杨柳，如今的杨柳是一名身价不斐的成功女人，却两度婚姻失败，两人再续前缘。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 ~高凡听了这话，顿时面色呆滞——他竟把他之前吩咐杀狗时说的话原样奉还了。