Examples of using Gans in English and their translations into Chinese
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The Gans Mills.
甘斯米尔斯号.Finally, the future open research problems for GANs are pointed out….
最后，指出了GANs未来的开放性研究问题。Gans promised he would do his best.
The Herbert Gans estate.
赫伯特甘斯遗产.GANs prove that creativity is no longer a trait exclusive to humans.
GANs用实际性能证明，创造力不再是人类独有的特质。
This paper compares the commonalities and differences of these GANs methods.
本文比较了这些GANs方法的共性和差异。GANs have been put to use creating realistic-sounding speech and photo realistic fake imagery.
对抗网络已被用于制作逼真的语音和逼真的虚拟图像。Humor helps, she often said and it does, Gans, but I will miss your laugh terribly,” Bush Hager said.
幽默有所帮助，她经常这么说，甘斯，但我会非常想念你的笑声，“布什哈格说。These GANs are some of the first that can, for example, imagine snow on a street even without having seen it before.
As it disappeared from the radar screen, the crew on the Gans Mills saw a fireball appear in the air.
当它从雷达屏上消失的同时，“甘斯・米尔斯”号上的船员看见空中有一个火球出现。Now, Jane Luis Gans is the general partner of venture capital firm Allegis Capital.
现在，简－路易斯·甘斯是风投公司AllegisCapital一般合伙人。First, you will get an introduction to generative modelling andhow GANs work, along with an overview of their potential uses.
首先，你将了解生成对抗网络以及GANs是如何工作，以及它们潜在用途的概述。GANs have been used to create fake photos that look almost photorealistic, but that no camera has ever taken.
GANs已经被用来制作看起来几乎真实的假照片，即使这些照片从未被拍摄过。
Li and Lyu's method, however, doesn't rely on GANs, and is therefore less time consuming and less computationally intensive.
李和刘的方法却并不依赖于GAN网络，因此运行时间更短、需要的算力更低。Gans is confident Scores will succeed, even in a city with four other strip clubs, including one with all-nude dancers.
但甘斯相信Scores将会成功，尽管大西洋城已经有了另外四家脱衣舞俱乐部，包括一家全裸。However, there is few comprehensive study explaining the connections among different GANs variants, and how they have evolved.
但是，很少有全面的研究来解释不同GANs变体之间的联系以及它们是如何演变的。Generative Adversarial Networks, or GANs for short, are a deep learning architecture for training powerful generator models.
生成对抗网络，或简称GANs，是一个深度学习框架，用于训练强大的生成器模型。GANs were introduced by Ian Goodfellow in 2014. They aren't the only approach of neural networks in unsupervised learning.
GAN是IanGoodfellow2014年提出的一种神经网络，它们并非是解决无监督学习问题的唯一途径。Yann LeCun, Facebook's chief AI scientist,has called GANs“The coolest idea in deep learning in the last 20 years.”.
Facebook首席AI科学家YannLeCun曾称GAN为“过去20年里深度学习领域最酷的主意”。Pushed further, GANs can reimagine images in different ways, making a sunny road appear snowy, or turning horses into zebras.
更进一步，对抗网络还可以通过不同的方式重新设计图像，比如使阳光明媚的道路看起来像雪一样，或将马匹变成斑马。GANs have been used to carry out some remarkable tasks, such as turning these dashcam videos from day to night or from winter to summer.
GAN已经被用来执行许多引人注目的任务，例如将视频场景从白天转到晚上，或者从冬天转到夏天。In 2017, researchers demonstrated that GANs could be trained to produce prototypical samples of a private set, revealing sensitive information from this set.
年，研究人员证明，GANs可以被训练来产生私有数据集集的原始样本，从中揭示敏感信息。GANs in Action: Deep learning with Generative Adversarial Networks teaches you how to build and train your own generative adversarial networks.
实战GAN:用生成对抗式网络进行深度学习可以教会你如何构建和训练自己的生成对抗式网络。In addition, GANs eliminate the need for people to label the content of each image or video, a task that takes extensive time and manpower.
此外，GANs使人们不再需要对每个图像或视频的内容进行标记，节省了大量的时间和人力。GANs are one of the very few machine learning techniques which has given good performance for generative tasks, or more broadly unsupervised learning.
GAN是极少数机器学习技术之一，它为生成任务或更广泛的无监督学习提供了良好的性能。Joshua Gans, an economist at the University of Toronto, doesn't buy the staking approach on Erasure, but its community won't have to stick to it.
多伦多大学经济学家JoshuaGans并没有购买对Erasure的赌注方法，但其社区不必坚持下去。Gans replaced Harry Mason with a female main protagonist, Rose Da Silva, because he felt Harry had many qualities typically perceived as feminine.
甘斯将原游戏主角哈利·梅森换为女性角色--罗斯（RoseDaSilva），他认为哈利的许多特点通常和女性相似。GANs traditionally have had difficulty generating realistic high-resolution images, but impressive results from pix2pixHD demonstrate that we're on track to solving these.
GANs在过去难以生成逼真的高分辨率图像，但pix2pixHD的结果表明，研究者们正在解决这些问题。Furthermore, GANs have been combined with other machine learning algorithms for specific applications, such as semi-supervised learning, transfer learning, and reinforcement learning.
此外，GANs已与其他机器学习算法结合用于特定应用，例如半监督学习，迁移学习和强化学习。GANs traditionally have had difficulty generating realistic high-resolution images, but impressive results from pix2pixHD demonstrate that we're on track to solving these.
GANs在传统上难以生成逼真的高分辨率图像，但是pix2pixHD的令人印象深刻的结果表明，我们正在努力解决这些问题。
