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No.36 Qi Wei2. 7. Support environmental protection and low carbon publicityNBC经典剧集《超能英雄》将于今年秋天以13集迷你剧形式回归，“塞勒”扎克瑞·昆图、“啦啦队长”海顿·潘妮蒂尔、“冰冻女”艾丽·拉特和“飞行男”米洛·文堤米利亚四位主角都不会回归。好消息是，在原剧中饰演“时间旅行者”中村宽(Hiro Nakamura)的日本演员丘增(Masi Oka)将作为客串出现在新剧中。　　稚龄的陆天恩在不知不觉中成为新、旧时代交替期的畸零人——时代发生巨变，生活的环境整个错乱了，原先规划好的一.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 ~等孙铁带着三个护卫，小心地抬着一张半丈长宽的方木盘进来，堂上堂下所有人都瞪大了眼睛，所有坐着的人，包括英王在内，都站了起来。正是上午辰时，集市上商贩乡民聚集，青石街道上人来人往，甚是繁华热闹。