韩信大军压境，郦食其随即到访。
少女们闪闪发光的青春日记。
撇撇嘴，似乎对大结局不太满意。
在线等，有点急！
本王保证，若你都能圆了这说辞，本王亲自替你求情
道德最终战胜了激情。凯瑟琳和艾马殊分手后，杰弗发现了妻子的外遇。伤心的杰弗开着飞机企图与妻子和艾马殊同归于尽，艾马殊幸运躲过一劫，却造成凯瑟琳身受重伤、自己命丧黄泉。艾马殊赶到深爱的人身边，把她安置到山洞里，承诺一定会走出沙漠，找到援助。但是，事情却不像想象中容易。他为了救人，担当了卖国罪名，惹来了杀身之祸，而凯瑟琳会不会等来获救的曙光？艾马殊又将承担起怎样的罪责？
Replay:重新开始的瞬间
江户时代，百鬼夜行。这其中有一个长着娃娃脸端着一块豆腐的可爱妖怪——豆富小鬼（深田恭子 配音），因为无法完成吓唬人的任务，所以受到老爹见越大人（松平健 配音）以及同伴们的嘲笑。豆富小鬼气不过，带着善良的达摩大叔（武田铁矢 配音）寻找从未谋面的母亲。谁知半路落入了戏子狸（宫迫博之 配音）的陷阱，戏子狸以之作要挟，发动了狸族和妖怪争夺人类世界的战争。偶然的意外让豆富小鬼重见天日，然而外面的世界早已过去两百多年。在这个繁华的现代社会，贪婪的人类为狸族所控制，丧失了对自然的敬畏。与此同时，名为SORA的气象控制系统得到开发，狸族和妖怪的战争再次拉开序幕……
永平帝见两方人都无话可说。
铠甲军指挥官苏筱筱穿越回到现在，告知南宫信一、林志凯等人，阎神用时空通道回到古代，更改记录人类历史的龙石。众人穿越追到清朝和秦朝，与阎神展开争夺，最终消灭阎神，夺回龙石，拯救了人类的历史不被改写
苞谷说，将来生了儿子一半算陈家的，一半算张家的。
Flaming Stone Giant Les Baozhu
清朝康熙年间，内务府总管纳兰明珠之子纳兰容若在皇陵拓碑时遇到了顺治帝陪陵的妃子孔四贞。一个是浊世公子，一个是活死人，然而容若火热的情感，很快征服四贞，四贞独特的魅力也俘虏了容若，两人深深地相爱了。当朝权臣鳌拜为拉拢民主，主动做媒，将外甥女卢雨蝉许配给容若，卢雨蝉纯真无邪，正是容若良配，而容若有了四贞后，心里再容不下别的女子。康熙与四贞自幼相识，感情很好，为了四贞的幸福，康熙竭力帮助她和容若，但容若和四贞的事最终被鳌拜知了……
Upload Sharing Time: 2018-10-13
皇缠（诹访彩花 配音）是一名平凡的初中二年级女生，从小就离开了父母，和祖父母过着相依为命的生活，皇缠因此格外渴望亲情，也渴望着看似一成不变但实际上充满了小确幸的平静生活。草薙由麻（大空直美 配音）是皇缠的好友，同时也是身上流淌着巫女血脉的巫女候补，肩上背负着沉重的责任。
{
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 ~
萨缪尔可能要被赶出自己从小长大的地方，于是奥马尔提出一个诱人的筹款计划
只是在走之前，还要了结一桩官司：张家大少爷打死晚辈身边长随，若是就这么算了，岂不是草菅人命……周夫子眼神一凝，盯着他不语。
