的深度学习方法 英语是什么意思 - 英语翻译

• deep learning approaches
• deep learning methods
• deep learning approach
• deep-learning methods

在 中文 中使用 的深度学习方法 的示例及其翻译为 英语

以前的深度学习方法主要集中在位于图像中心附近的矩形区域，并且通常需要依赖成本很高的后期处理。
Previous deep learning approaches have focused on rectangular regions located around the centre of the image, and often rely on expensive post-processing.

在NIPStalk引起了许多研究者注意，AliRahimi把最近的深度学习方法比作炼金术，并且呼吁设计更严格的实验。
In a NIPS talk that resonated with many researchers, Ali Rahimi compared recent Deep Learning approaches to Alchemy and called for more rigorous experimental design.

他说：“我们项目的成功依赖于使用最新的深度学习方法，来分析高级的实验生物学数据。
The success of our project relied crucially on using the latest deep learning methods to analyze the most advanced experimental biology data.

Gcns的灵感主要来自最近的一些深度学习方法，因此可能会继承不必要的复杂度和冗余计算。
GCNs derive inspiration primarily from recent deep learning approaches, and as a result, may inherit unnecessary complexity and redundant computation.

目前的深度学习方法可以将局部特征(如纹理)集成到更全局的模式(如形状)中。
Current deep learning methods can integrate local features like texture into more global patterns like shape.

同样，在机器人辅助手术的背景下讨论了强化学习，并综述了基因组学的广义深度学习方法。
Similarly, reinforcement learning is discussed in the context of robotic-assisted surgery, and generalized deep-learning methods for genomics are reviewed.

以前的深度学习方法主要集中在位于图像中心附近的矩形区域，并且通常需要依赖成本很高的后期处理。
Previous deep learning approaches have focused on rectangular areas located around the center of the image, and require expensive post-processing.

佩德罗·多明戈斯（PedroDomingos）等著名研究人员很快就拿起了手套，并开发了使用不同优化技术的深度学习方法。
Renowned researchers such as Pedro Domingos soon picked up the glove and developed Deep Learning methods that used different optimization techniques.

他在神经科学方面的研究，以及他对麦卡洛克和皮茨最初的支持，勾勒出当今极其有效的深度学习方法的轮廓。
His work on neuroscience and his initial support of McCulloch and Pitts adumbrated the startlingly effective deep-learning methods of the present day.

我们引入了一种简单而有效的深度学习方法来自动生成自然的语音动画，使之与输入语音同步。
We introduce a simple and effective deep learning approach to automatically generate natural looking speech animation that synchronizes to input speech.

优于2018年专门为球体设计的不太通用的几何深度学习方法，该系统的准确度为94％。
(It also outperformed a less general geometric deep learning approach designed in 2018 specifically for spheres- that system was 94% accurate.).

鲁丁说，问题在于，众所周知，大多数计算机视觉的深度学习方法都是不透明的。
The problem, Rudin says, is that most deep learning approaches to computer vision are notoriously opaque.

该工具还与Monteverdi密切相关，它将Orfeo的深度学习方法可视化。
The tool is also closely associated with Monteverdi, which applies Orfeo's deep learning methods in visualization.

他们选择了这种特定的深度学习方法，因为它可以自动学习输入数据的最佳表示，并使用它来识别位置引用。
They chose this specific deep learning approach because it can automatically learn the best representation of input data and use this to identify location references.

根据论文中的描述，这是谷歌的这项研究和此前的深度学习方法之间的区别：.
According to the paper, this is the difference between Google's work and previous deep learning approaches:.

因此，在过去几年中，依赖于基因组数据的预测问题的深度学习方法变得越来越流行。
As a result, deep learning approaches to the prediction problem that rely on genomic data have become increasingly popular in the last few years.

我们表明，端到端的深度学习方法可以用来识别英语或汉语普通话，这是两种截然不同的语言。
We show that an end-to-end deep learning approach can be used to recognize either English or Mandarin Chinese speech--two vastly different languages.

我相信这种新颖的深度学习方法可以可用于我们实验室正在进行的其他项目。
I believe this novel deep learning approach can be used in other projects, which is ongoing in our laboratory.".

在此研究中，我们提出了另一种方法：在不依赖专业知识的情况下自动完成认知建模的深度学习方法。
In this work, we present an alternative, a deep learning approach that automatically performs cognitive modeling without relying on such expert knowledge.

类似地，当前最佳的深度学习方法也不足以解决视觉意识的奥秘，更不要说发展出人工意识了。
Likewise, state-of-the-art deep learning method is not enough to solve the myth of visual consciousness, not to mention developing artificial consciousness.

为了改变这一情况，英国伦敦DeepMind的JosephLedsam和同事开发了一种可以评估患者危险因素的深度学习方法。
To address this issue, Joseph Ledsam and colleagues have developed a deep learning method for assessing patient risk factors.

他们引入了一种简单而有效的深度学习方法，来自动生成看起来自然的，能够与输入语音同步的语音动画。
They introduced a simple and effective depth learning method to automatically generate a speech animation that looks natural and can synchronize with input speech.

一种不太常见、更加专业化的深度学习方法是使用网络作为特征提取器。
A slightly less common, more specialized approach to deep learning is to use the network as a feature extractor.

在这篇文章中，我们将看到，自然语言处理领域的深度学习方法的五个具体承诺。
In this post, we will look at five specific promises of deep learning methods in the field of computer vision.

遵循这一趋势，近年来的NLP研究越来越多地关注于使用新的深度学习方法(见图1)。
Following this trend, recent NLP research is now increasingly focusing on the use of deep learning methods[19].

你们可以选择共同感兴趣的研究问题，设计新的深度学习方法来解决它。
Together, you will pick a research problem of mutual interest and then devise new deep learning techniques to solve it.

在有多位研究人员共同参与的一次NIPS讨论当中，AliRahimi将近期的深度学习方法与中世纪的炼金术进行了比较，并呼吁应采取更为严格的实验设计。
In a NIPS talk that resonated with many researchers, Ali Rahimi compared recent Deep Learning approaches to Alchemy and called for more rigorous experimental design.

从简单的单词计数算法到先进的深度学习方法，文本构成了我们看待社交媒体的镜头。
From simplistic bag of words counting algorithms through advanced deep learning approaches, it is text that forms the lens through which we see social media.