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一位在野生动物保护区生活的猎人被迫卷入了一场致命的猫捉老鼠的游戏，他和当地治安官出发去追踪一名凶手，而凶手可能正是几年前绑架了他的女儿的神秘人。1950年，广西匪情严峻，军区首长从大局出发，将尚关押在牢中等候处决但疑点重重的罪犯洪风假释，命他带领一支小分队直插入敌人心脏，洪风受命，几经波折，组建起一支包括他在内的七人飞狐小分队，人员个个都身怀绝技，但彼此却又猜忌与怀疑，致使他们的使命危机重重，时刻都处在危机之中……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 ~万般无奈时，选择先救娘，你不能说人答错。以韩国京畿道一处闹鬼的房屋为背景，三名“废家同好会”会员与拍摄人员一同闯入探险，最终都神秘失踪，只留下了一盘录像带。奈何尹旭得知赵佗动兵北上之后。