Episode 26
以近藤史惠的小说《塔塔塔塔塔塔的梦》、《把范・秀献给你》、《马卡龙是马卡龙》为原作的《主厨是名侦探》。西岛饰演的法国餐厅“Bistro Pa Mar”的主厨·三舟忍，凭借其非凡的洞察力和推理能力，将客人们卷入的案件和不可思议的事件中解谜的模样进行描绘。
V5i32 applies to:
Murderer Liang's Husband
********下章会扔个原子弹，亲们做好准备啊。
4. Set the Path environment variable, which already exists, so select Path in the list, click the "Edit" button below, and add the following information to the pop-up window:% JAVA_HOME%\ bin; % JAVA_HOME%\ jre\ bin, and then click the "OK" button. As shown in the figure:
板栗瞪了他一眼道：那我问你，你最近在忙什么，大晚上也不歇着？你就折腾吧，这可是京城。
女警察白亦的弟弟白冉惨遭人杀害，尸体被掏空内脏抛尸荒野。在案情毫无进展的情况下，白亦顺藤摸瓜找到了诊所医生曾泽溪，在多方调查无果后，某天白亦在追击嫌疑人的过程中，被器官贩卖组织囚禁，最终又将犯罪团伙成功抓获。
何人？姑娘？啊……尹旭生怕女子喊出声，泄露了自己踪迹,想要掩住女子的口鼻。
先是练固定的靶子，后来便练习射鸟雀。
秦瀚见了，忙转头从弟弟秦涛腰里也扯下一个荷包袋，殷切地递过去，道：红椒妹妹，二弟这还有柿饼，你吃一块。
目前，CSI.Las.Vegas共有九季。此外，CSI.还有Miami（迈阿密）、NY（纽约）两种。
据说将档案影片与“运动的主要参与者”结合在一起，由Janet Mock、 Margaret Cho、Asia Kate Dillon、 Neil Patrick Harris、 Lena Waithe等人讲述。此外还将包括对Ellen DeGeneres、Oprah Winfrey、Anderson Cooper等人的采访。
片中两位男主：一位是成功的家庭男人戴夫（杰森·贝特曼），他每日埋头工作，照顾家庭，有着可爱的孩子和迷人的老婆；一位则是瑞安·雷诺兹饰演的米奇，他长相英俊、童心未泯，一直夜夜笙歌与姑娘们鬼混。不过一种日子过久了总会心存不爽，两个人在以下这个喷泉和“女神”面前尿尿的时候，共同讲出了“我想要你的生活啊”的愿望，于是……愿望就在第二天实现了……
Jin Xingguo also has a tendency of domestic violence,
小赌不一定怡情、家庭和社会如何影响青少年嗜赌、纯粹金钱援助削弱戒赌决心、生活欠寄托易身陷赌海、理性赌徒不敌嗜赌的心、复赌问题等。
廖岩与梁麦琦都是国外学成归来的年轻刑事专家，他们分别运用各自领域的专业技能，在重案组全体干警的密切配合下，破获了一个又一个离奇案件。他们曾多次身处险境，生命受到威胁，但最终都以智慧和勇气成功化解危机，完成了他们一个又一个挺而走险的任务，而重案组的年轻干警们，也在一次次的疑案侦破中收获了友情与成长。
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 ~
