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为了节省开支，学校决定取消音乐课，作为音乐老师，马蒂（亨利·温克勒 Henry Winkler 饰）即将面临被解雇的命运。马蒂的悲惨遭遇点燃了斯科特的斗志，他决定帮朋友一把。通过打地下拳击赛，斯科特筹得了资金保住了音乐课在学校里的地位，他的这一举动却遭到了他人的误解。但是，在斯科特的内心里，放弃还是坚守，这个问题的答案早已了然于心。伸手拿过来，信手翻开，却看住了。汪滶冷嘲一声，让开殿门，任嘉靖走出，没人敢说，我来说——昏君。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 ~影片讲述梦想进武林的中幡世家小子进京途中，意外救了兵部尚书未过门的小妾红儿，从此踏入龙潭虎穴。朝廷贪官污吏勾心斗角；江湖之上贩夫走卒生死较量。王小变凭聪慧粉碎惊天阴谋，使武林豪杰免遭灭顶，自己选在天桥发扬中幡……　　　　韩信也早有了准备，一直在等待着龙且的到来，双方的军队在潍水一带遭遇。