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透露一下，《回家》将引来一个大高.潮，高档大气、走国际路线的《天河魔剑录》马上就要发书了，陈启的新书也马上要发表了。　　某日，诊所里来了新大夫永井秀一（大沢たかお饰），秀一是不满其父——永世会医院的院长对医院的经营方式，才和家里闹翻离家出走的，其精湛的医术和敦厚的为人均深深吸引着彩。赵大人轻笑道，起来吧，今天心情好，不追究你了。　　Sorcha Cusack饰演女主母亲﹑Chris Geere饰演女主前男友Freddie﹑Kadiff Kirwan饰演女主室友Bradley﹑Ricky Grover饰演朋友Tom﹑Ekow Quartey饰演上司James，Pik-Se...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 ~