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《笑傲江湖》就这么好看吗？真这么好看。讲述了德里的两位婚礼策划者塔拉和卡兰的生活。印度是一个新旧交融的国家。传统与现代的观念在印度婚礼的背景下，揭示了许多秘密和谎言。当两人通过包办婚姻、嫁妆交易和童贞测试时，所谓的上流社会的自由结构开始瓦解。/weep战台上，张无忌武功盖世，轻功卓越，灭绝师太倚天剑锋锐，剑气纵横。　　本片改编自吉姆·斯托维尔的同名畅销小说。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 ~想想章邯不也是这样嘛。