DEEP-LEARNING SYSTEMS 中文是什么意思 - 中文翻译

• 深度学习系统

在 英语 中使用 Deep-learning systems 的示例及其翻译为 中文

Deep-learning systems for training and neural nets.
用于训练和神经网络的深度学习系统。

Other research teams have applied genetic or evolutionary algorithms to the problem of optimizing deep-learning systems.
其他研究团队已经应用遗传或进化算法来优化深度学习系统。

Deep-learning systems rely on an electronic model of this neural network.
深度学习系统就是基于这个神经网络的电子模型。

Others have developed one-shot learning systems, but these are usually not compatible with deep-learning systems.
之前也曾有人开发过单次学习系统，但通常不兼容深度学习系统。

Deep-learning systems for breast and heart imaging have already been developed commercially.
用于乳房和心脏成像的深度学习系统已被商业化开发出来了。

In response to these shortcomings, rebel researchers began advocating for artificial neural networks, or connectionist AI, the precursors of today's deep-learning systems.
为了应对这些缺点，另一派研究人员开始倡导人工神经网络或连接人工智能，他们是当今深度学习系统的先驱。

Deep-learning systems for breast and heart imaging have already been developed commercially.
专用于乳腺和心脏造影的深度学习系统已经完成了商业化开发。

In response to these shortcomings, rebel researchers began advocating for artificial neural networks, or connectionist AI, the precursors of today's deep-learning systems.
针对这些缺点，叛逆的研究人员开始提倡人工神经网络，或连接主义人工智能，也就是今天深层次学习系统的前身。

Already in many cases, our deep-learning systems perform better than our expert annotators.”.
在许多情况下，我们的深度学习系统在标注上已经做得比我们的标注专家做的更好了。

In response to these shortcomings, rebel researchers began advocating for artificial neural networks, or connectionist AI, the precursors of today's deep-learning systems.
为了应对这些缺点，另一派的研究人员开始倡导人工神经网络，或称联接主义人工智能（connectionistAI），这是当今深度学习系统的前身。

For deep-learning systems, however, researchers are often unable to understand why a machine did what it did.
然而，对于深度学习系统，研究人员往往无法理解机器为什么会这样做。

Making deep-learning systems more intelligible to human reasoning is an exciting challenge for the future.
如何让深度学习系统更加智能以理解人类的推理逻辑，是未来我们面临的一个令人兴奋的挑战。

But[deep-learning systems] are criticized because it's sometimes hard to figure out what's going on inside of them.”.
但是，深度学习系统却因有时我们很难弄清楚它们内部情况而遭受批评。

Deep-learning systems can be trained to recognize these phishing emails and prevent them from getting delivered to anyone's inbox.
经过训练的深度学习系统可以用来识别这些钓鱼邮件，并阻止他们被传送到任何人的收件箱里。

Many deep-learning systems available today are based on tensor algebra, but tensor algebra isn't tied to deep-learning..
今天很多现有的深度学习系统都是基于张量代数（tensoralgebra）而设计的，但是张量代数不仅仅只能用于深度学习。

Deep-learning systems are increasingly moving out of the lab into the real world, from piloting self-driving cars to mapping crime and diagnosing disease.
深度学习系统越来越多地走出实验室而进入现实世界：从驾驶无人驾驶汽车到犯罪制图和疾病诊断领域。

Deep-learning systems are increasingly moving out of the lab into the real world, from piloting self-driving cars to mapping crime and diagnosing disease.
深度学习系统正在越来越多地走出实验室，走进现实世界，实践案例包括驱动无人驾驶汽车到搜索罪犯和诊断疾病等。

Deep-learning systems have since become more powerful: networks 20 or 30 layers deep are not uncommon, and researchers at Microsoft have built one with 152 layers.
深度学习系统因此变得更加的强大：20或30层的网络变得很常见，微软的研究人员曾建立过152层的网络。

Deep-learning systems have since become more powerful: networks 20 or 30 layers deep are not uncommon, and researchers at Microsoft have built one with 152 layers.
深度学习系统自那以后变得愈发强大：20到30层的神经网络已非罕见，微软的研究者甚至开发出了152层的网络。

Deep-learning systems have since become more powerful: networks 20 or 30 layers deep are not uncommon, and researchers at Microsoft have built one with 152 layers.
此后，深度学习系统变得越来越强大：深度达到20或30层的网络不再罕见，微软（microsoft）的研究人员甚至打造了一个152层的网络。

A deep-learning system doesn't have any explanatory power,” Hinton says.
深度学习系统没有任何解释能力，」Hinton直截了当地说到。

In other words, Asimo does the job that is normally done by the engineers who build the deep-learning system.
换句话说，Asimo正在做负责深度学习系统开发的工程师所做的工作。

One research group found that GPUs could speed up its deep-learning system nearly a hundredfold.”.
而且Ng确定GPUs可以加速深度学习系统大约100倍。

A deep-learning system doesn't have any explanatory power,” as Hinton put it flatly.
深度学习系统不具有任何解释力”，Hinton博士坦率地说。

Google researchers have developed a deep-learning system designed to help computers better identify and isolate individual voices within a noisy environment.
谷歌研究人员开发了一种深度学习系统，可以帮助电脑在嘈杂环境中更好地识别和区分一个人的声音。

A deep-learning system doesn't have any explanatory power,” as Hinton put it flatly.
深度学习系统没有任何解释能力，」Hinton直截了当地说到。

With enough training, a deep-learning system can find subtle and abstract patterns in data.
经过足够的训练，深度学习系统可以在数据中发现细微和抽象的模式。

Indeed, he said, the more powerful the deep-learning system becomes, the more opaque it can become.
事实上，他说：「深度学习系统变得越强大，它就越含糊。

For example, a dog-spotting deep-learning system doesn't understand that dogs typically have four legs, fur, and a wet nose.
例如，犬类识别深度学习系统不明白狗狗通常有四条腿、皮毛和湿鼻子。

Once a deep-learning system has been trained, it's not always clear how it's making its decisions.
一旦一个深层次的学习系统被训练好了，它并不总是清楚它是如何做出决定的。