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 ~
How far would you go to have a baby? Martin Compston, Sophie Rundle and Mirren Mack star in this emotional thriller about love, trust and the true cost of buying whatever you want. Dan (Compston) and Emily (Rundle) are crazy about each other. They live in a huge house in the nicest part of Glasgow and want for nothing. But they’ve been trying to have a baby for years with no success. When a chance encounter brings 18 year-old Kaya (Mack) crashing into Emily’s life, and it seems that just maybe, fate has brought them together. From the other side of town, Kaya is determined to make a life for herself. Experiencing the luxurious interior of Emily’s Range Rover, she quickly starts to get a taste for how the other half live. Back in her bare local authority flat, Kaya decides to change her future. She tracks down Emily and makes her an offer: she’ll be Dan and Emily’s surrogate, if they help set her life on track. She can change their lives, if they can change hers. But with only one embryo left, can Dan and Emily trust a teenage girl they barely know with their last chance to have a family?
也许将来，这天下……项羽心中浮现出一种极其不情愿的想法……如今在现实的压迫下已经很大程度地消磨了他的雄心壮志，据有天下对他来说似乎成了一个有些遥不可及的想法。
我看船主的境况也甚是窘迫，北有倭寇，西有水师，南有夷人，三面包夹，首尾不得相顾？确是如此。
《No Good Nick》讲述了十三岁的妮可（妮可儿的昵称）的故事，她是一个深谙街头规矩的行骗高手，城府很深，并且有着自己的秘密计划。
父母之间的恩怨，老实说，他也糊涂。
我军某军校开学，一批新兵进入军营。这些新兵来到军校这样一个严格、紧张的新环境，一切都很新鲜，也很苦、很累。军营，一个锻炼意志品质、培养独立人格的地方，渐渐让他们明白了生活和生命的意义……不能表白的爱情……作为一名军人，他们的生命属于祖国，他们的青春属于人民，而他们也是有血有肉的普通人，他们也有七情六欲……
II. Test Surface
因最后一次任务而感到内疚的老兵与好友的遗孀联手渗透进了一个危险的哥本哈根摩托帮。
咬咬牙，明天还是三更，把这事交代完。
Article 24 [Active Cooperation] When the inspected object accepts the supervision and inspection by the medical security administrative department, it shall actively cooperate and provide the required information as required, and shall not refuse the inspection, make false reports, falsely report or conceal.
黑胖子两眼瞪得极大，三两步跑过来，亲自拉着杨长帆往这边来，你可得帮俺啊。
某卫生局副处长耿林（王志文 饰）和医生刘云（江珊 饰）是一对结婚数载的夫妻，刚刚走出大学校门的娄嘉仪（徐静蕾 饰）和肖天海（王学兵 饰）则是一对即将分手的恋人。 当耿林和娄嘉仪相识之后，他们的情感世界在平静的生活背后发生了 剧烈的变化。即将步入中年的耿林和刘云，在事业的成功与物欲的诱惑面前，既羡慕又迷茫；在年轻一代执着而疯狂的爱恋面前，既羡慕又恐慌。他们试图在对方身上寻找真爱，结果却是由爱而恨，家庭也走向危机。然而，当耿林与刘云无意中被卷入一桩命案之后，二人重新发现了对方的美好与善良，他们义无反顾地投入到解救对方的行动中。而年轻的娄嘉仪与肖天海在经历了近乎疯狂的感情波折之后，也找到了各自的归宿。
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TV动画《#新干线变形机器人SHINKALION Z#(第二部)》，将于2021年春季播出！
假小子汤小米是90后的孩子中格外调皮捣蛋的一个突出份子。她有一位威名远扬的副旅长母亲米蓝，和一位事业有成的富商爸爸汤沐阳，但是她没有一个完整的家——米蓝当年放弃了丈夫与女儿，一心扎进了部队；而忙着挣钱的老爸也顾不上对小米的管教，于是汤小米成了个性格叛逆，到处惹是生非的问题少年。汤小米的不受管教成了米蓝的心病，为了让女儿能被训练得“规矩”一些，米蓝把汤小米抓进军营，死死按住，而小米则处处闹事儿，绞尽脑汁想要逃跑，成了新兵连的刺儿头兵，一场麻辣母女之间的麻辣战斗就此展开……
