在深度学习 - 翻译成英语

• in deep learning
• in the depth of learning

在 中文 中使用 在深度学习 的示例及其翻译为 英语

他将「深度」运用在深度学习中，这就描述了这些神经网络的所有层。
Ng put the“deep” in deep learning, which describes all the layers in these neural networks.

我们探索在深度学习架构中使用关系归纳偏置如何有助于学习实体、关系以及构成它们的规则。
We explore how using relational inductive biases within deep learning architectures can facilitate learning about entities, relations, and rules for composing them.

我们在深度学习框架中解决了声源分离的问题，我们将其称为“深度聚类”。
We address the problem of acoustic source separation in a deep learning framework we call“deep clustering.”.

在深度学习的驱动下，人们在计算机视觉、语音处理、自然语言方面相继取得了突破，达到或甚至超过了人类水平。
Deep learning has made breakthroughs in computer vision, speech processing and natural language, and reached or even surpassed human level.

在深度学习中，还有其他一些方法解决过拟合问题。
In the context of deep learning, there are other ways of addressing the problem of overfitting.

我们探索在深度学习架构中如何使用关系归纳偏差可以促进对实体，关系和组成它们的规则的学习。
We explore how using relational inductive biases within deep learning architectures can facilitate learning about entities, relations, and rules for composing them.

但是，一代系统也有局限性，甚至在深度学习取得实质性进展的领域也是如此。
But there are limits to how well system 1 works, even in areas where deep learning has made substantial progress.

在深度学习竞赛中，我会经常检索相关论文，并试图找出这些作者们在相似的情形下是怎么做的。
In a deep learning competition, I often search related papers and try to find what the authors did in a similar situation.

他最近的工作集中在深度学习及其在语音识别中的应用。
Her most recent work focuses on deep learning and its application in speech synthesis and pronunciation evaluation.

我们有时间在深度学习、其他人工智能方法和从数据中有效提取价值的过程中研究这些问题。
We have time to work these issues on Deep Learning, other AI methods, and the processes to effectively extract value from data.

在深度学习出现之前，创建能够处理医学图像的计算机视觉算法需要软件工程师和主题专家做大量的工作。
Before deep learning, creating computer vision algorithms that could process medical images required extensive efforts from software engineers and subject matter experts.

在深度学习网络的性能方面，可以考虑两种模式：.
There are two modes to consider in the performance of deep learning networks.

甚至在深度学习中，虽然会有一些共享的理念，但是没有一个常用的API。
And even within DL, while there may be some shared concepts, there is no such thing as a common API.

基于这些方法，我们推断了在深度学习中并行性的潜在方向。
Based on those approaches, we extrapolate potential directions for parallelism in deep learning.

他最近的工作集中在深度学习及其在语音识别中的应用。
His current work focuses on deep learning and its application to large vocabulary speech recognition.

在深度学习时代，数据无疑是最有价值的资源。
And, in the deep learning era, data is very well arguably your most valuable resource.

Bengio博士说，这种人工直觉曾在深度学习最公开的演示中展示出来。
Dr Bengio says such artificial intuition was on display during the most public demonstration of deep-learning that has ever taken place.

在深度学习和神经网络的驱动下，它类似于iPhoneX面部识别系统背后的技术，但要复杂得多。
Driven by deep learning and neural networks, it's similar to the technology behind the iPhone X's facial recognition system, but much more sophisticated.

在深度学习出现之前，文字所包含的意思是通过人为设计的符号和结构传达给计算机的。
Before deep learning, the meaning embedded in the words we write was communicated to computers using human-engineered symbols and structures.

CTNK：Microsoft在深度学习领域的产品，拥有Python和C++API（JavaAPI尚在实验中）。
CTNK: Microsoft's offering in the deep learning space, with Python and C++ APIs(Java is also available experimentally).