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Items salvaged刘邦似乎察觉到了妻子的异样表情，想要劝说却不知该如何启齿，正在此时属下来报，张良先生来访。杨长帆点了点头，拍了下炮身感怀到，炮口是决定大炮杀伤力的核心因素，这个炮口不算大，但防御这里足够了，还有更大的炮，比这个大两倍，三倍，甚至十倍的炮。徽王府这边，虽然船坚炮利，但多数时候只是威慑用的，真正打过海战硬仗的仅有汪显、赵光头二人　　离城返乡后她开起了物流公司，正当生意有了进展时，却又机缘偶遇的接手了个濒临倒闭的蔬菜加工厂。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 ~