What is the translation of " 深度学习技术 " in English?

• deep learning techniques
• deep learning technology
• deep-learning techniques
• deep-learning technology
• deep learning technologies

Examples of using 深度学习技术 in Chinese and their translations into English

Exynos9611可通过深度学习技术，提供人工智能功能。
So the Exynos 9611 provides artificial intelligence through deep learning technology.

未来几年深度学习技术将会继续发挥重要作用.
Deep learning technology will continue to play an important role in the next few years.

Amazon的智能音箱“Echo”便使用了深度学习技术。
The Echo, Amazon's smart speaker, uses deep-learning techniques.

深度学习技术在黑暗中揭示“隐形”物体.
Deep-learning technique reveals“invisible” objects in the dark.

到底什么是深度学习技术?
What is the deep learning technology?

Vicarious利用深度学习技术让机器人更接近人类的认知能力。
Vicarious uses deep learning to get the robot closer to human cognitive ability.

基于检索式模型或生成式模型都可以应用深度学习技术，但是相关研究似乎正转向生成式方向。
Deep Learning techniques can be used for both retrieval-based or generative models, but research seems to be moving into the generative direction.

此外，人工智能还可以使用深度学习技术来模拟自动攻击，以自动监控和修复安全问题。
In addition, deep learning technology is used to simulate automated attacks to provide automated monitoring and repair of security problems.

机器学习、深度学习技术、语音识别、语音合成、图像识别和自然语言处理（NLP）正在迅速发展升级。
Machine learning, deep learning techniques, speech recognition, speech synthesis, image recognition, and natural language processing(NLP) are rapidly evolving.

其次，我们已经知道深度学习技术需要大量的训练数据，而对于某些垂直行业而言这可能是一种约束和限制。
Secondly, Deep Learning techniques have been known to require lots of training data which may act as a constraint for certain industry verticals.

通过结合物联网与深度学习技术，ConnectedLife不断收集动作的数据，以客观地监测帕金森病患者的动作症状。
By combining Internet of Things(IoT) and deep learning technology, ConnectedLife continuously collects motion data to objectively monitor motor symptoms of Parkinson's Disease patients.

使用深度学习技术，该系统还能为会话内的每个五秒间隔打出“情绪分数”。
Using deep-learning techniques, the system can also provide a specific sentiment score for five-second intervals within a conversation.

深度学习技术使用大量已知数据找到一组权重和偏差值，以匹配预期结果。
Deep-learning techniques use a large amount of known data to find a set of weights and bias values to match the expected results.

此外，这些深度学习技术特别强大，能从复杂的多维数据类型(如图像，视频，音频或语音)中提取模式。
Furthermore, these deep learning techniques are particularly powerful in extracting patterns from complex, multidimensional data types such as images, video, and audio or speech.

深度学习技术将经过一段时间的发展逐渐趋于成熟，进入比较平稳的平台期。
Deep learning technology will gradually mature after a period of development, into a relatively stable platform period.”.

然而，所有这些都假定表明，深度学习技术在招聘和人力资源方面是可行的，并最终可能成为普遍现象。
All of this presumes, however, that deep-learning technology is viable for use in recruiting and human resources and could eventually become commonplace.

这款软件支持深度学习技术并部署到GPU，Gartner似乎很喜欢RapidMiner为机器学习部署提供更高的透明度。
The software supports deep learning technology and deploys to GPUs, and Gartner seemed to like how Rapid Miner's delivers more transparency for machine learning deployments.

聊天机器人的深度学习技术只是使用人工智能（AI）模拟人类对话的几种不同方法之一。
Deep learning techniques for chatbots are only one of several different approaches that use Artificial Intelligence(AI) to simulate human conversations.

但是，那些深度学习技术和强大的计算真的能创作可怕的故事吗？?
But can all that deep-learning technology and powerful computation truly turn out terrifying tales?

神经网络和深度学习技术是当今大多数高级智能应用的基础。
Neural networks and deep learning technologies underpin most of the advanced intelligent applications today.

不需要数据科学家团队，很多市场部门就能利用机器深度学习技术，分析大量复杂的动态数据。
Without an army of data scientists, many marketing departments will utilize machine deep-learning technology to analyze huge, complex and dynamic data sets.

最后，传统行业将继续缺乏懂得AI/深度学习技术的数据科学家，例如银行业（尤其是工业物联网领域）。
Finally, the shortage of Data Scientists who know AI/ Deep learning techniques will continue outside the traditional sectors like Banking(especially in Industrial IoT).

人工智能（AI）和深度学习技术正以前所未有的方式冲击着我们的世界。
Artificial intelligence(AI) and deep learning technologies are disrupting our world in unprecedented ways.

从下表可以看出，深度学习技术架构设计的方向正是逐渐摆脱模型的。
From the above table, we see that the deep learning technology is evolving towards getting rid of the concept of a model.

很多深度学习技术本质上是复杂的，尽管在很多情况下它们产生的结果是准确的，但是它们难以解释。
Many deep learning techniques are complex in nature and, although they result very accurate in many scenarios, they can become incredibly difficult to interpret.

然而，深度学习技术的出现为扩大能力和灵活性提供了可能性。
However the emergence of deep learning technologies opens the possibility of expanded capabilities and flexibility.

并且利用起深度学习技术来模拟自动化攻击,来提供安全问题的自动化监测和修复。
In addition, deep learning technology is used to simulate automated attacks to provide automated monitoring and repair of security problems.

许多电子商务公司都采用视觉和深度学习技术来进行时尚产品搜索和风格推荐。
Many ecommerce companies are also employing vision and Deep Learning technologies to perform fashion product search and style recommendation.

这是我第一次尝试机器学习或是深度学习技术，马上就得到高过预期的准确度。
This was the first time I tried out machine learning or deep learning technology, and right away got much higher accuracy than I expected.