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　伊莎贝拉·罗西里尼将加盟天空电视台打造的古罗马题材剧集《多米娜》(Domina，暂译)。卡司包括卡夏·斯穆特尼亚克([他们])、利亚姆·坎宁安、马修·麦克诺提(《超能少年》)、克里斯汀·博顿利(《去他*的世界》)、科莉特·特汉奇奥(《猎魔人》)等。西蒙·波克(《雪镇疑杀》)担任制作并操刀剧本，克莱尔·麦卡锡([奥菲莉娅])执导。故事讲述尤利乌斯·凯撒遇刺之后，莉维娅从一个幼稚的年轻女孩开始转变，最后成为了罗马最有影响力的女皇，这都是出于想为父亲报仇及保护儿子的决心。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 ~马上轻松下来，很自然地告诉了他。只是《绝代双骄》从第一章到现在，每一个情节都是有些出乎意料。[Truth] On July 19, the Chinese website of China Daily sent a letter of apology to Fan Bingbing, saying: "This website reprinted the above untrue articles without verification, which violated your reputation. Therefore, the website deleted the untrue article as soon as it received the civil complaint on May 24, 2016, and contacted Baidu, 360 and other search engines to delete the snapshot. Because of the timely handling, the false article did not spread widely. "And apologized to Fan Bingbing:" The relevant responsible persons have been dealt with seriously within the network and similar incidents will not happen in the future. Once again, I would like to express my most sincere apologies to Ms. Fan Bingbing. "