高端牙科诊所的牙医程皓业余时间经常帮别人出谋划策追女孩，追女孩有无数种方法的他却还没有恋爱过。受过情伤专治各种渣男的罗玥来看牙病，偶遇程皓，两人冤家路窄。两个彼此讨厌的人，开始了一段啼笑皆非的情感追逐战。程皓的合伙人张铭阳动了真心让程皓帮忙追一个女孩，而这个女孩竟是程皓曾经的暗恋对象。程皓的朋友邹北业让程皓出主意追一个女模特。三个遇到不同情感问题的男人成了铁三角，最终他们都找到了最合适自己的另一半，同时也收获了成长。
Saturation
男主是澳门富商，女主是医生，初次见面男主受伤失忆，女主将其带回家悉心照顾，两人互生情愫。后来男主被手下找回，记忆恢复却忘记了女主…总之是一部集黑帮、失忆、各种谜团于一身的爱情故事。
JD.com Promises
热情开朗的朱丽珠为刚失恋的好朋友严望佳安排了一场异国的散心之旅，然而对于朱丽珠“一厢情愿”的安排，性格稳重的严望佳却并不领情。萦绕着失恋阴霾和对人生未来的迷茫的严望佳封闭了自己的内心，两人也因此在旅途中爆发矛盾，这次的争吵让两人分道扬镳。随后朱丽珠意外被卷入了一起事故，陷入危机。
那可不，刚刚侄媳都给我讲了。
5. Site and service outlets:
金，阴也，阴盛则阳灭。
A billionaire with questionable priorities re-examines his life after discovering his grandfather's journal.
口气一个比一个大，生怕显得自己胆子小了。
——我从不因被曲解改变初衷，不因冷落而怀疑信念，亦不因年迈而放慢脚步
尘世里，生死同，一诺重千金
故事发生在民国年间的大上海，佟氏家族叱咤沪上商界，成为名噪一时的花纱大王。 留洋的佟家公子佟云开被父亲从英伦召回，接踵而至的却是父亲被人绑架，偌大家族群龙无首，是为当年沪上一大奇案。案犯狱中蹊跷死亡，巡捕房胡乱结案，绑架案不了了之，而案件背后却是疑云密布。佟云开决意靠自己的力量，使案件水落石出……
Table tennis is called "national ball" in China.
尽管遭到了朋友们的强烈反对，李登布罗克教授还是带着侄子毅然决然地出发了。两人的旅途始于德国汉堡，之后，来自冰岛的汉斯（Peter Ronson 饰）成为了他们可靠的向导。三人来到了斯奈菲尔火山口，从此进入地表之下，在长达三个月的旅程中经历了种种光怪陆离的现象，遇见了无数千奇百怪的动植物，甚至邂逅了神秘的种族。
The signal attenuation of 100 meters cable is the same. Therefore, the influence and effect of temperature on signal attenuation is far greater than many other fixed factors.
Dioscorea cirrhosa root slice
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 ~
