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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 ~　　2. When Country Goes PopDeep Learning: There is a translated version in Chinese, but I don't really want to put it here, because this book is actually very theoretical. Some chapters are really good, and some places you will think, what is this? What's the use of this thing? Will turn the novice around. Everyone will buy a town venue first, look through what they don't understand, Google what they don't understand, read papers directly, read good blogs summarized by others, and so on. In short, as long as you can understand what you don't understand.咸丰年间，局势风雨飘摇，社会颓像渐显，帝国的最高统治者——咸丰春秋之年却无子嗣，许多双眼睛便盯上了未来的皇位，流言也不胫而走，传遍宫廷内外“皇上没有生育能力”，皇上有病，不能要孩子，这些流言的背后是各种政治势力的抗衡和较量。兰儿被咸丰无意撞见并得宠，她的胆略、见识更让咸丰刮目相看。咸丰欲立兰儿为贵人，遭到太佛爷康慈的极力反对。一番争斗，虽然取得贵人名分，但太佛爷所下懿旨中规定兰儿一年之内，如不能怀有皇上子嗣，便从此打入冷宫。兰儿无意间知道了皇上的难言之隐。为了巩固自己的地位，兰儿通过太监安德新安排自己儿时好友柳志同进宫为咸丰诊治，但柳志同行踪被咸丰身边的卧底密报康慈。康慈集团感到此事可以大做文章，于是精心设下圈套，企图一石二鸟，即证明咸丰确有花病，不能有后，又嫁祸兰儿私通宫外，欺君罔上，进而逼皇上立大阿哥为储君并除掉兰儿……公元1856年，兰儿生下一子，被册封为皇贵妃。太贵妃康慈一病不起，听到兰儿生子的消息，当即召儿子恭亲王进宫，说完“你不要从政，不要和兰儿斗，你斗不过她”之后病逝。天子Transaction Code: MB52年过中旬的杰克是位银行网络安全高级主管，他凭其精于计算机防盗设计的经验备受高层重视。银行盗匪比尔绑架了杰克家人，并胁迫杰克为他们盗取银行一亿美元现金。为了家人杰克以身犯险，和罪犯展开了斗智斗勇的对决。