日本污&#22270

顺治年间，亲王多尔衮夜发疾病，亲信高升急赴皇宫为王爷取药，遭皇宫侍卫拦截。高升出手击杀侍卫多名，此事引起顺治对桀骜不驯的亲王多尔衮的不满。不能说，他们有些太小瞧了李将军的肚量，李左车根本不打算和他们计较。清嘉庆道光年间，广东杰出的武术名家黄麒英之子黄飞鸿继承父业，他出众的武功和极富正义感的品德深得众人爱戴。当地洋人当道，输入鸦片，开设烟馆，坑害百姓。为伸张正义，黄飞鸿砸烟馆，惩恶人，向恶势力进行了不妥协的斗争。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 ~