一个深度学习 - 翻译成英语

deep-learning
深度学习
深入学习
deep learning

在 中文 中使用 一个深度学习 的示例及其翻译为 英语

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数据准备和预处理在一个深度学习训练过程中扮演着非常重要的角色,它影响着模型训练的速度和质量。
Data preparation and preprocessing play important roles in the deep learning and training process, and affect the speed and quality of model training.
在Krizhevsky的卧室里,他构建了一个深度学习的神经网络,由两个NvidiaGeForce游戏卡提供动力。
From his bedroom, Krizhevsky had plugged 1.2 million images into a deep learning neural network powered by two Nvidia GeForce gaming cards.
同时,博世集团正与阿姆斯特丹大学一起运营一个深度学习研究实验室――Delta实验室。
At the same time, Bosch is working with the University of Amsterdam on a deep learning research laboratory called the Delta Laboratory.
QualcommAIResearch已经完成了一个深度学习声学模型的训练并使其适应每个用户的口音和环境,从而提高个性化程度。
Qualcomm AI Research has trained a deep learning acoustic model to adapt to each user's accent and environment, adding personalization.
谷歌的研究人员开发了一个深度学习系统,通过观察人们说话时的面部表情来识别特定的声音。
The researchers have developed a deep learning system that can pick out a specific voice by looking at people's faces when they are speaking.
KDnuggetsSoftwarePoll中添加了一个深度学习工具的新类别,民意调查最流行的工具的结果显示如下。
In 2015 KDnuggets Software Poll, a new category for Deep Learning Tools was added, with most popular tools in that poll listed below.
例如,中国发展和改革委员会就资助了一个深度学习实验室。
For instance, China's National Development and Reform Commission is funding the development of a deep learning research lab.
并且,这一通信库并非只是被硬编码到一个深度学习软件包,因此也就可以与包括TensorFlow、Caffe和Torch等在内的框架进行集成。
And the library isn't hard-coded into just one deep learning software package, so it can be integrated with frameworks such as TensorFlow, Caffe, and Torch….
一个深度学习的先驱,谷歌的杰夫•辛顿(GeoffHinton)认为,想要在这一重大挑战上取得进展,就必须重新思考该领域的一些基础。
One deep-learning pioneer, Google's Geoff Hinton, argues that making progress on that grand challenge will require rethinking some of the foundations of the field.
挑战在于,在许多服务器上编排和优化一个深度学习问题是很困难的,因为GPU运行得越快,它们学习的速度就越快。
The challenge is, it's difficult to orchestrate and optimize a deep learning problem across many servers, because the faster GPUs run, the faster they learn..
莱斯大学的计算机科学家创建了一个深度学习的软件编码应用程序,可以帮助人类程序员浏览越来越多的通常未记录的应用程序编程接口或API。
Rice University researchers have created a deep-learning, software-coding application that can help human programmers navigate the growing multitude of often-undocumented application programming interfaces, or APIs.
而且,这个库并不是硬编码到一个深度学习软件包中,因此它可以与诸如TensorFlow、Caffe和Torch这样的框架集成在一起。
And the library isn't hard-coded into just one deep learning software package, so it can be integrated with frameworks such as TensorFlow, Caffe, and Torch….
莱斯大学的计算机科学家创建了一个深度学习的软件编码应用程序,可以帮助人类程序员浏览越来越多的通常未记录的应用程序编程接口或API。
Computer scientists have created a deep-learning, software-coding application that can help human programmers navigate the growing multitude of often-undocumented application programming interfaces, or APIs.
我们的想法是创建一个深度学习框架的罗塞塔石碑(RosettaStone):假设你很了解某个深度学习框架,你就可以帮助别人使用任何框架。
Our idea was to a create a Rosetta Stone of deep-learning frameworks- assuming you know one well, to help anyone leverage any framework.
但是在2012年的时候,谷歌对外展示了一个深度学习的网络,能够从一大堆没有标记过的图片中识别猫、人脸和其他的物体。
In 2012, Google demonstrated a deep learning network that was able to decipher cats, faces and other objects from a giant pile of unlabelled images.
年,使用这个训练集,谷歌实习生ZbigniewWojna用整个夏天开发出了一个深度学习模型架构,该架构可以自动对街景图像进行标记。
With this training set, Google intern Zbigniew Wojna spent the summer of 2016 developing a deep learning model architecture to automatically label new Street View imagery.
Caffe是一个深度学习框架。
Caffee is a deep learning framework.
Caffe是一个深度学习框架。
Caffe is a deep learning framework.
Caffe是一个深度学习框架。
Caffe machine learning is a deep learning framework.
TensorFlow是一个深度学习软件系统。
Tensorflow is a deep learning software….
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