CNN in Chinese translation

美国有线电视新闻网
一个CNN
CNN报道
美国

Examples of using Cnn in English and their translations into Chinese

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(CNN) The man from Madeira is at it again.
CN)来自马德拉岛的男人再次站在那儿。
Organizers told CNN that about 600 others went too.
组织者告诉CN,也有大约600人参加了比赛。
CNN called the Houzz app the“Wikipedia of interior and exterior design”.
Houzz被CNN誉为“室内外设计的维基百科”。
The expert tells CNN that 173 of those turtles have died.
普雷斯科特说,这些海龟中有173只死亡。
Why does the segmentation of CNN have an encoder-decoder structure?
为什么应用于图像切割的CNN一般都具有Encoder-Decoder架构??
Below is the CNN video.
下面是CNET视频。
CNN is fake news, I don't take questions from CNN.".
Cnn是假新闻(fakenews),我不回答cnn的问题。
By the way own all the media including CNN.
这个乌龙坑了cnn在内的所有媒体。
In their new, post-shutdown poll, CNN found answers to this question.
在这个冷血的问题之前,cnn已经找到了答案。
How many people still watch CNN?
现在还有多少人在看CCTV?
Omni Atlanta Hotel CNN Center.
欧尼亚特兰中心酒店CentennialOlympic.
Anderson Cooper 360 The CNN Daily Fareed Zakaria.
安德森.360、每日有线电视.
If you want reality, watch CNN.
如果你想看对的,请看CCTV
This is the worst virus announced by CNN, and has been classified by Microsoft as the most destructive virus ever.
这是美国有线电视新闻网公布的最严重的病毒,并已被列为微软的最具破坏性的病毒。
Most of these models employ a CNN or a BiLSTM that takes as input the characters of a word and outputs a character-based word representation.
这些模型中大多数都使用了一个CNN或BiLSTM,它们以词的字符为输入,输出基于字符的词表征。
CNN and Time reinstated Zakaria last week, saying their reviews of his work had shown the lapse was an isolated incident.
美国有线电视新闻网和时代上周恢复了扎卡里亚,称他们对他的工作的评论显示失误是一个孤立的事件。
A team of researchers have built a CNN model that can analyze and classify ancient graffiti.
一组研究人员建立了一个CNN模型,可以分析和分类古代涂鸦;.
According to CNN, actress Susan Bennett says her voice was used for Apple's virtual assistant Siri.
CNN报道:她的名字是苏珊·贝内特(SusanBennett),她的声音赋予了苹果虚拟助理Siri生命。
CNN, for instance, quotes Administration officials as saying"the White House does not and would not support such a proposal".
例如,美国引用政府官员的话说,“白宫不会也不会支持这样的提议。
Train a CNN(Convolutional Neural Network) object detector and slide it over our image until we find all the cars.
训练一个CNN(卷积神经网络)目标检测器,用它滑过我们的图像直到找到所有的车辆。
Results: 2595, Time: 0.0587

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