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果然女子与小人难养也，亏他还以为自己封了女将军，是襟怀广阔，开创先河，谁知是自掘坟墓……正后悔间，冷森的寒气擦着耳边飞过，皇帝并未觉得疼痛，却听见身后闷哼一声。在杭州开茶坊的赵盼儿终于收到未婚夫欧阳旭在京城高中探花的的喜讯，结果却惨被抛弃。不甘命运的她誓要上京讨个公道，进京途中JiJikb.com又不得不赶去相救被骗婚而惨遭虐待的好姐妹宋引章，同时，进京途中还救了婚姻生活不幸导致落水自杀的孙三娘。当欧阳旭得知赵盼儿来到京城，找上门来，竟设法将她赶出汴京。赵盼儿、宋引章、孙三娘三人决定留在汴京，靠自己的本事闯出一片天。在经历了举步维艰、种种磨难后，姐妹三人终于将小茶坊经营成了汴京最大的酒楼。历经艰苦奋斗后的赵盼儿看到了更多的风景，也解开了对欧阳旭憎恨的执念，同时也为古代地位卑微的女子推开了一扇平等救赎之门。该剧讲述了两位不同环境下成长起来的富二代继承者之间的故事。一位是不愿继承亿万家业的韩嘉琪，一位是面临家业破产的大家闺秀林佳敏。二人在回家的火车相识，等待他们的将是不同的命运。林佳敏站在父林孝宗的遗照前，继母拿着父亲生前的债务欠条将其赶出家门，与此同时韩嘉琪与爷爷频频发生不愉快。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 ~1. Decompression1. The ship at anchor shall show where it is most visible:About plant dyeing materials and hue, I would also like to share them here.