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Manufacturer Services女演员#浜辺美波#将主演8.13~8.15日连续3夜播出的NHK台连续剧「pure！～一日偶像署长的事件簿～」，本剧是一部刻画了一天之内解决疑难事件的推理作品，美波在剧中饰演的是不太受欢迎、有点腹黑的女偶像·黑蔷薇纯子，她和#东出昌大#饰演的天敌·警视厅搜查一课的东堂刑警一起组成搭档解决案件，另外共演包括長村航希、六角精児等。但是。田遥正打发人去请大夫，听了这话，心里也难受。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 ~我呸。《幸福保卫战》海报