篁菜穗（高畑充希饰）是一位热心的美术收藏家，祖父设立了私人美术馆，篁菜穗从祖父那里继承了美术馆的副馆长一职。丈夫一辉（风间俊介饰）也是银座一家画廊的第三代。身怀六甲的菜穗为了躲避东京的喧嚣，在京都长期逗留的过程中，遇到了一幅画。《绿叶》的作者是一位名叫白根树（SUMIRE饰）的不会说话的无名画家。被这幅画深深吸引的菜穗，得知树被在京都画坛具有影响力的画家志村照山（松重丰饰）剥夺了自由，确信她能无声的诉说。菜穗在追寻树的画的过程中，被吸引到一个美丽居民欲望交错的世界，终于找到了可以改变命运的真相。@哦撸马
The simple understanding is that photometry is in charge of the light and shade distribution of the whole photo, with the central focus on photometry and uniform light and shade of the photo. The spot metering is more suitable for shooting the actors on the stage, that is, taking the actors as metering spots, and the photos taken are based on the brightness of the actors, rather than the shady scenes around the actors.
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 can we jump out of the poor's thinking caused by scarcity?
千王司徒省（潘志文 饰）在不同场合下认识各具能力的七个人，包括：千术了得的翟冠一（陈展鹏 饰），魔术师伍柏义（陈山聪 饰），雀后何正花（林夏薇 饰），MMA拳手丁权（林子善 饰），负责接收情报的吴世峰（黄长兴 饰），接载走佬车手李享（徐荣 饰），以及千脸变身女郎苏丽芬（赵希洛 饰），将她们招揽到自己旗下的老千团队。
该剧讲述了“扶贫二代”濮泉生与都市女记者沙鸥在澧水市庸城县碗米溪村参与精准扶贫的过程中，挥洒青春热血，克服重重困难，带领村民脱贫致富的故事。
郑老太太惊得面无人色，失声叫道：这是真的？什么时候的事？郑氏等人闻声都望过来，不知板栗对她说了什么，让她这样吃惊。
The seven-layer model of OSI and its description are as follows:
There is a misconception circulating on the Internet in China: the law of 10,000 hours. It is so deeply rooted in people's hearts, however, it is really wrong! Psychologist Eriksson, the creator of the concept of "deliberate practice", published his first Chinese book, telling you how to go from novice to outstanding expert.
这不可能，再见。
4. Is it better to find a decoration company or a private one for decoration-shortcomings of private decoration
本片将描绘被称为日本史上最大谜团的“本能寺之变”前一日，追踪这一谜团的历史悬疑电影。故事从现代的京都开始，正处于即将结婚的人生岔路上的茧子（绫濑遥 饰）住进了一家本能寺酒店，这是一家能够与战国时代相连的不可思的酒店，茧子在这里遇见了即将统一天下的织田信长。
一个“野种”女人,一个继承了母亲的姣美、善良、刚毅和养父的豪爽、果敢、豁达的女人,一个被塞北高原赋予鲜明爱憎的女人与世无争却多灾多难。蛮荒、战乱、土匪、日本鬼子、国民党、共产党和她那出息各异的儿女们构成了她快活、潇洒、壮美又充满了艰难、痛苦、辛酸的一生。
二舅奶奶你说是不？二舅奶奶忙道：我也不是自己吃。
张红星在一家小广告公司做创意总监。前妻陈晓玲为了再婚，将女儿送回张红星身边，由于他头脑活络，为人又与世无争，所以日子稳定而安逸。林凤英见儿子老大不小了，想尽办法为儿子找媳妇。关美洋是个职业猎头，她要挖张红星去一家大公司。张红星不愿意接受挑战和压力，而关美洋却是个不达目的决不罢休的人。给张红星添乱的事情接踵而至，张红星拉来关美洋装做自己的女朋友，关美洋趁机要张红星接受了跳槽的条件。来到新公司，上司朱桂香是个职业女性，为人苛刻严厉，和随意惯了的张红星摩擦不断。张红星与媒介部主管温丽丽又卷入了职场斗争中。总公司派来了人力资源女顾问，干练专制，要把张红星踢出公司，张红星腹背受挫。在关美洋的帮助下，张红星在新公司站住了脚，他和关美洋在这期间也萌生了爱意。
理由是那么的冠冕堂皇。
刘学栋回到济南刘掌柜大喜，众人为他接风，这时妓女莲花撞上门告诉他：洪二要
凉亭之中，赵文华受宠若惊。
两人目光交会。
