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何永强皱眉道，我给你牵线，保你进货比杨长帆便宜。郑老太太虽然心里还不顺，也被他逗得眼带笑意，知道他最是灵透的，菊花办事也稳妥，因此便不再言语。BBC全女性阵容(演员+编剧)、8集15分钟独白剧《点滴：女性人生百年瞬间》(暂译)，将于英国时间6月18日到21日间播出，每日两集。本剧作为BBC今夏“Hear Her/听见她”专题的核心部分，将标志着妇女获得选举权的周年纪念。独白灵感来自于那些往往以极大的个人成本公 开发表意见、挑战现状或做出反抗的女性。以下是每集简介。①Compliance 顺从[暂译]编剧： Abi Morgan有英国奥斯卡之称的BAFTA获奖编剧，代表作《演播时刻》、《妇女参政论者》、《家变》。主演：Romola Garai金球奖、BAFTA提名演员，代表作《演播时刻》、《赎罪》。剧情：一个女演员，在酒店里会见制片人的经历。②Outside编剧：Theresa Ikoko主演：Corinne Skinner-Carter代表作《EastEnders》。剧情：一位100岁的妇女回顾了她多灾多难的生活。③Bovril Pam编剧：Vicky Jones代表作《The One,》、《Touch》。主演：Jodie Comer代表作《福斯特医生》、《杀死伊芙》、《白公主》。剧情：20世纪60年代，一位女秘书开始探索她的性取向。④Multiples 倍数[暂译]编剧：Zinnie Harris主演：Siobhan Finneran代表作《唐顿庄园》、《幸福谷》。剧情：一个被指控杀害自己孩子，证词不被他人相信的女人的经历。⑤Pig Life 贱命[暂译]编剧：EV Crowe主演：Shirley Henderson代表作《单身日记》、《哈利·波特》。剧情：在婚内强奸仍被认为是合法的1991年，一位女子诉说自己的经历以期改变法律。⑥Pritilata 普里蒂拉塔编剧：Tanika Gupta代表作《候车厅》、《玩偶之家》。主演：Kiran Sonia Sawar代表作《黑镜》、《被父谋杀》。剧情：灵感来自于Pritillata Waddedar的故事，1932年她为孟加拉国妇女争取投票权。⑦Reclaim The Night编剧：Charlene James主演：Liv Hil《三个女孩》，获得BAFTA最佳女配角提名。剧情：1977年利兹，第一次恢复夜间游行，作为对妇女实施宵禁的回应。⑧Tipping Point 临界点[暂译]编剧：Rachel De-Lahay主演：Antonia Thomas代表作《良医》、《超能少年》、《性爱后遗症》。剧情：在不远的未来，被白人至上主义者围困的孕妇正在思考她未出生的孩子将会如何？"You said 'similar'? Does it mean that in addition to the unknown creatures that attacked you twice before, there are new unknown creatures' participating in the war '?" I asked.汉王刘邦轻声道：因此就得辛苦你，即日前去展开燕齐之战，从而东西夹击西楚国。在孩子们的卧室里，生活着五个可爱的瑞奇宝宝。他们性格各异，相处时也会发生些小摩擦；但他们总记得关心彼此、互相帮助，一起面对挑战，共同成长……暖心有爱的故事里还巧妙地融入了认知、社交、艺术、运动等启蒙内容，帮助宝宝开启他们特有的天赋，陪伴他们健康成长。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 ~