What is the translation of " 深度学习和机器学习 " in English?

• deep learning and machine learning

Examples of using 深度学习和机器学习 in Chinese and their translations into English

其实这就是深度学习和机器学习能够发挥作用的地方。
And this is where deep learning and machine learning can come into play.

深度学习和机器学习都基于算法。
Deep Learning and Machine Learning are both based on algorithms.

FfDL上的H2O.ai：让深度学习和机器学习更加紧密.
H2O-3 on FfDL: Bringing deep learning and machine learning closer together.

许多软件工程师已经意识到，深度学习和机器学习是真正强大的工具，因此他们努力领会这些新想法。
Many software engineers have figured out that deep learning and machine learning are really powerful tools, so they're trying to grasp new ideas.

深度学习和机器学习架构在未来几年将发生很大改变。
Deep learning and machine learning architectures are going to change a lot in the next few years.

它是为像我这样熟悉应用深度学习和机器学习但缺乏数学背景的人而设计的。
It's designed for people like me who are familiar with applying deep learning and machine learning but lack a math background.

对于地理空间分析专业人员来说，该产品提供了强大新型的AI和预测分析功能，包括深度学习和机器学习算法。
For geospatial analytics professionals, this product provides AI and predictive analytics capabilities including deep learning and machine learning algorithms.

计算的诗人”、奈望林纳奖得主达斯卡拉基斯(ConstantinosDaskalakis)讲述深度学习和机器学习.
The poet of computation' and Nevanlinna Prize winner Constantinos Daskalakis talked about deep learning and machine learning.

团队的文化非常出色--一些最好的深度学习和机器学习科学家…….
The culture of the team is brilliant- some of the best deep learning and machine learning scientists there are….

他的主要研究方向是统计关系学习、概率深度学习和机器学习及其应用。
His main research interests are statistical relational learning, probabilistic deep learning and machine learning, as well as their applications.

如果需要在深度学习和机器学习之间作出抉择，用户需要明确是否具有高性能的GPU和大量的标记数据。
When choosing between machine learning and deep learning, we should ask ourselves whether we have a high-performance GPU and lots of labelled data.

如果需要在深度学习和机器学习之间作出抉择，用户需要明确是否具有高性能的GPU和大量的标记数据。
When choosing between machine learning and deep learning, you should ask yourself whether you have a high-performance GPU and lots of label data.

相反，人工智能(深度学习和机器学习)使用概率回答来跟随后续步骤。
On the contrary, AI(deep learning and machine learning) uses probabilistic answers to follow a succeeding step.

相反，人工智能（深度学习和机器学习）使用概率答案来完成一个后续步骤。
On the contrary, AI(deep learning and machine learning) uses probabilistic answers to follow a succeeding step.

一个是深度学习和机器学习技术的巨大飞跃，帮助计算机视觉更好地识别事物。
One is this big jump in deep learning and machine learning techniques that is helping computer vision be that much better at recognizing things.

Theano创始性地运用了核算图（computationalgraph），并在研讨界遍及做深度学习和机器学习之时仍坚持盛行。
Theano pioneered the use of the computational graph and remains popular in the research community for deep learning and machine learning in general.

该课程为期20周，将为Infosys员工提供针对无人驾驶车辆的工程技术培训，包括深度学习和机器学习等高阶课程。
The 20-week curriculum will train Infosys employees on engineering technologies for self-driving vehicles, including advanced courses in deep learning and machine learning.

比如，英伟达就在其显卡中使用了这项技术来助力深度学习和机器学习应用。
Nvidia uses this technology in its graphics cards, for example, to help with deep learning and machine learning applications.

Theano开创性地使用了计算图（computationalgraph），并在研究界普遍做深度学习和机器学习之时仍保持流行。
Theano pioneered the use of the computational graph and remains popular in the research community for deep learning and machine learning in general.

现在，通过单一平台，您可以加速各种高性能计算领域的应用程序：科学计算、工业模拟、深度学习和机器学习。
With a single platform, you can now accelerate applications across a variety of HPC domains- scientific computing, industrial simulations, deep learning and machine learning.

年，IBM公司推出了Watson，它使用了更为复杂的技术，包括深度学习和机器学习，击败了两个顶级的Jeopardy冠军。
In 2011, IBM introduced Watson, which used far more sophisticated techniques, including deep learning and machine learning, to defeat two top Jeopardy! champions.

什么是深度学习和机器学习？?
What about deep learning and machine learning?

TensorFlow*是一款领先的深度学习和机器学习框架。
TensorFlow* is one of the leading deep learning and machine learning frameworks today.

同时，它将深度学习和机器学习技术置于该曲线的顶峰。
It also placed deep learning and machine learning technologies at the peak of this hype cycle.

与AI相关的深度学习和机器学习技术已经变成大数据圈常见的讨论话题。
AI-related deep learning and machine learning techniques have become a common area of discussion in big data circles.

三分之一的受访者目前正在使用复杂的深度学习和机器学习来推动人工智能的应用。
One out of three respondents are using complex deep learning and machine learning to power AI today.

我们可以使用传感器，摄像机，任何传感器来观察一个现象，利用深度学习和机器学习等技术来快速提取知识。
We can use sensors, cameras, whatever sensors to observe a phenomena and use deep learning, machine learning sort of techniques to rapidly distilling the knowledges.

根据高德纳(Gartner)的报告，深度学习和机器学习这两项关键的新兴AI技术将在未来两到五年内得到广泛采用。
According to Gartner, deep learning and machine learning- two key emerging AI technologies- will reach mainstream adoption within two to five years.

Ooi教授说：“2012年，我们对深度学习和机器平台的需求不断增长，但是缺乏高效的分布式平台。
Prof Ooi said,“We saw an increasing demand for deep learning and machine platforms in 2012, but there was a lack of efficient distributed platforms.