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Discussion expert只要飞龙国不吃饱了撑的劫徽王府的船，双方必然是合作的关系。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 ~多谢义父成全，东城只图苟活于东海，不牵扯家人。兔子不但没被吓跑，反而凑近了。欢迎来到“馈”世界！ 在不远的将来，“馈”技术联结起地球上所有人的意识，让我们可以即时分享各自的信息、情感和记忆。然而在系统遭受神秘侵入后，用户开始出现杀人行为，创始人一家则因难以掌控“馈”这头可怕的技术怪物而逐渐分崩离析——每一个人都危在旦夕。 剧集由《行尸走肉》制作人兼编剧钱宁·鲍威尔（Channing Powell）开发，改编自尼克·克拉克·温多（Nick Clark Windo）的同名后末日小说；由英国兰伯特工作室和亚马逊工作室制作，并由亚马逊prime video、自由全球和国际All3Media分区发行。2. Patients can obtain continuity of diagnosis and treatment, even if they have received diagnosis and treatment in different MDT teams or hospitals;