生成对抗网络 - 翻译成英语

• generative adversarial networks
• generative adversarial network
• generative adversarial nets

在 中文 中使用 生成对抗网络 的示例及其翻译为 英语

最后，生成对抗网络（GAN）的提出者IanGoodfellow表明，神经网络可能被对抗性样本故意地欺骗。
Finally, Ian Goodfellow, inventor of generative adversarial networks(GANs), showed that neural networks can be deliberately tricked with adversarial examples.

生成模型：为什么生成对抗网络(GAN)效果非常好?
Generative Models: Why do Generative Adversarial Networks(GANs) work so well?

生成对抗网络是由两部分神经网络组成的，分别为生成模型和判别模型。
Generating antagonism network is composed of two parts of neural networks, namely, generating model and discriminant model.

在谷歌大脑人工智能实验室里，研究人员开发出了一种被称为“生成对抗网络”(GAN)的系统。
Researchers at the Google Brain AI lab have developed a system known as a Generative Adversarial Network(GAN).

A：我完全被震撼到的一个应用是生成对抗网络，或称GANS。
Terence: One application that I was completely shocked by was the generation of confrontation networks, or GANS.

答：我完全被震撼到的一个应用是生成对抗网络，或称GANS。
One application where I have been just totally blown away is the generative adversarial networks, or GANS.

在这方面可以提供帮助的方法之一是使用生成对抗网络(GAN)。
One of the methods that can help in this regard is the use of generative adversarial networks(GAN).

特伦斯：我完全被震撼到的一个应用是生成对抗网络，或称GANS。
One application where I have been just totally blown away is the generative adversarial networks, or GANS.

人工智能软件开发人员通常进行的是基础研究，例如深度学习或生成对抗网络的最新发展，并将其转化为可用的产品。
AI software developers take fundamental research, such as the latest developments in deep learning or generative adversarial networks, and turn them into usable products.

他引入的架构，生成对抗网络（GAN），现在在研究领域特别热门，因为它们为无监督学习提供了一条道路。
The architecture he introduced, generative adversarial networks(GANs), are particularly hot right now in the research world because they offer a path towards unsupervised learning.

更引人注目的是，两个神经网络--生成对抗网络--可以相互指导来创建逼真但又属于完全合成的人脸图像。
And even more impressive, a pair of them- called a generative adversarial network- can teach each other to create realistic, but totally synthetic, images of faces.

年，一位名叫伊恩·古德费洛(IanGoodfellow)的研究人员和他的同事们写了一篇论文，概述了一种新的机器学习概念--生成对抗网络。
In 2014, a researcher named Ian Goodfellow and his colleagues wrote a paper outlining a new machine learning concept called generative adversarial networks.

一个简单的方法是通过Nvidia生成对抗网络(GANs)的方法，这是ThisPersonDoesNotExist网站背后所用的技术。
An easy way to visualise this is through Nvidia's work with Generative Adversarial Networks(GANs), which is the technology behind This Person Does Not Exist.

一些关键的使能深度学习算法，如生成对抗网络，卷积神经网络和模型迁移，彻底改变了我们对信息处理的方法。
Some key enabler deep learning algorithms such as generative adversarial networks, convolutional neural networks, and model transfers have completely changed our perception of information processing.

本周，英伟达（NVIDIA）的研究工程师们公开了StyleGAN的源代码，他们几个月来一直致力于该项目，将其作为生成对抗网络的基于Style的生成器架构。
This week NVIDIA's research engineers open-sourced StyleGAN, the project they have been working in for months as a Style-based generator architecture for Generative Adversarial Networks.

Medium-GAN-什么是生成对抗网络（GAN）？?
GAN- What is Generative Adversary Networks GAN?

摘要】生成对抗网络（GANs）是最近的热门研究主题。
Generative adversarial networks(GANs) are a hot research topic recently.

这项工作建立在过去关于生成对抗网络（GANs）的工作之上。
The work builds upon past work on Generative Adversarial Networks(GANs).

该方法基于两种流行的人工智能技术：生成对抗网络和强化学习。
The approach is based on two popular AI techniques: generative adversarial networks and reinforcement learning.

深度强化学习[30]和生成对抗网络[51]也遇到了类似的评估问题。
Similar evaluation issues have been observed for deep reinforcement learning[30] and generative adversarial networks[51].