日韩欧美亚洲

花无缺绝世武功一施展，这群武林豪客和峨眉弟子也不敢再动手，这场风波就此解决。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 ~玄武将军就是名医秦大夫的高足，那就请玄武将军上来帮他瞧瞧好了。右贤王笑道：这是焉支山的部落送给本王的美人，姿色不错吧。My reply was very peaceful, and I also gave some friendly suggestions to beginners, and 6 people supported me. Just think about it. However, today, I saw this "Daniel" calling me a spurt in my blog post on the front page:等她走后，花生小声问山芋：红椒姐姐啥时候叫你带点心了，我咋没听见？山芋绷着脸道：要你管。Chateau La Tour Carnet-La Tugari Manor