What is the translation of " 的机器学习系统 " in English?

• machine-learning system
• machine learning systems
• machine learning system
• machine-learning systems
• ML systems

Examples of using 的机器学习系统 in Chinese and their translations into English

这正是这些研究者的机器学习系统所再现出来的行为。
This is the behavior that the researchers' machine-learning system reproduced.

这是你的机器学习系统?
THIS is your machine learning system?"?

Watson这样的机器学习系统是如何训练的.
The machine-learning systems like Watson are trained.

这就是你的机器学习系统？
THIS is your machine learning system?".

此外，它还需要将不同的机器学习系统结合起来，例如那些识别语音和翻译文本的系统，从而使耳机能够工作。
You would have to combine different machine learning systems, like ones that can recognize speech and translate text, to make the earbuds work.

但是，驱动这些应用的机器学习系统大都运行在云端，是计算密集型的并有着巨大的内存需求。
However, the machine learning systems that power most of these applications run in the cloud and are computationally intensive and have significant memory requirements.

好，对于一个单一的机器学习系统，需要一定的努力来实现这一点。
Well, given a single machine-learning system there's a certain effort needed to achieve this.

换句话来说，人类产生的机器学习系统上运行的数据是由人类设计的算法。
In other words, machine learning systems that run on data produced by humans are based on algorithms designed by humans.

相比之下，新的机器学习系统每秒最多可以查看600张图像。
In contrast, the new machine-learning system can review up to 600 images per second.

自动化的机器学习系统将把预测分析带到下一个层次，但是会增加一些陡峭的学习曲线。
Automated ML systems will take Predictive Analysis to the next level but there will be some steep learning curves.

今天，AI可以在称为神经架构搜索(NAS)的过程中设计称为神经网络的机器学习系统。
Today, AI can design machine learning systems known as neural networks in a process called neural architecture search(NAS).

脸书的机器学习系统提炼两千种数据（或者用行业术语说是“特征”）以完成这些预测。
Two thousand kinds of data(or“features” in the industry parlance) get smelted in Facebook's machine-learning system to make those predictions.

这就是为什么监督的机器学习系统比没有监督的系统更常见，至少现在是这样。
That's why supervised ML systems are more common than unsupervised ones, at least for now.

比如信息是如何进行收集的，或者它的机器学习系统的数据集是如何进行预测分析的。
Information is sparse on how it does this or what datasets its machine learning system mines for predictive analytics.

上图所示为研究人员为他们的机器学习系统选择了任意的频率响应来寻找要创建的超材料（圆）。
The researchers chose arbitrary frequency responses for their machine learning system to find metamaterials to create(circles).

这些研究者所采用的机器学习系统是一个神经网络，之所以这样叫是因为它粗略地模仿了人脑的结构。
The researchers' machine-learning system is a neural network, so called because it roughly approximates the architecture of the human brain.

大多数现有的机器学习系统并不会试图去了解不同概念之间的关系。
Most existing machine-learning systems don't try to understand the relationship between concepts.

这个系统的研发从去年开始，当时我们的团队正在为Allo和Inbox里的会话理解开发相应的机器学习系统。
The research behind this began last year while our team was developing the machine learning systems that enable conversational understanding capability in Allo and Inbox.

因此，大脑将成本函数作为其发展的决定性驱动力，正如当今的机器学习系统一样。
Thus, the brain uses cost functions as a key driving force of its development, much as modern machine learning systems do.

目前的机器学习系统自己无法产生视错觉--至少现在不能。
Current machine-learning systems cannot generate their own optical illusions- at least not yet.

因此，他们鼓励在设计一个“公平”的机器学习系统时考虑长期结果。
Thus, they encourage looking at the long-term outcomes when designing a“fair” machine-learning system.

所以，我们打造了一个全新的机器学习系统，我们称之为TensorFlow。
So we have built an entirely new machine learning system, which we call“TensorFlow.”.

通常，计算机科学家将尽可能多地为他们的机器学习系统提供培训数据。
Typically, computer scientists will try to feed their machine-learning systems as much training data as possible.

这背后的研究始于去年，当时，我们的团队正在开发能够在Allo和Inbox中实现对话式理解能力的机器学习系统。
The research behind this began last year while our team was developing the machine learning systems that enable conversational understanding capability in Allo and Inbox.

因此我们建立了全新的机器学习系统，我们管他叫做”TensorFlow”。
So we have built an entirely new machine learning system, which we call“TensorFlow.”.

因此，我们开始建立起一套全新的机器学习系统，它就是“TensorFlow”。
So we have built an entirely new machine learning system, which we call“TensorFlow.”.

量化基金ManAHL首席科学家安东尼·莱福德（AnthonyLedford）表示，更先进的机器学习系统有时候也意味着它用处变小。
Anthony Ledford, chief scientist at quant fund Man AHL, says more advanced machine learning systems sometimes prove less useful, too.

例如，如果你的机器学习系统正在一个数据集上工作，那么所有你能得出的结论都是基于该数据集的。
For example, if your machine learning system worked in one dataset, all you can safely conclude is that it worked in that dataset.

以下是一些技巧和窍门，可以帮助那些有兴趣架设和运行自己的机器学习系统的开发人员：.
Below are several tips and tricks that will help developers interested in getting their own machine learning systems up and running:.

他的论文催生了Avira的NightVision机器学习系统，该系统现已成为Avira云保护赖以实现的核心技术之一。
His thesis resulted in Avira's NightVision machine learning system, which is now one of the core technologies powering Avira's Protection Cloud.