在 中文 中使用 的深度学习框架 的示例及其翻译为 英语
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Kumar的团队使用NVIDIAGPU云（NGC）的TensorFlow深度学习框架容器，在NVIDIATITAN和GeForceGPU上进行本地处理。
The local processing is done using the TensorFlow deep learning framework container from NVIDIA GPU Cloud(NGC) on NVIDIA TITAN and GeForce GPUs.RLlib还允许开发人员使用由几种流行的深度学习框架创建的神经网络，并将其与流行的第三方模拟器集成在一起。
RLlib also lets developers use neural networks created with several popular deep learning frameworks, and it integrates with popular third-party simulators.它采用BSD2-Clause许可证来发布，被誉为是市面上性能最高的深度学习框架之一。
It's released under the BSD 2-Clause license, and it's touted as one of the fastest-performing deep-learning frameworks out there.然后，他们使用NVIDIAGPU和cuDNN加速的TensorFlow深度学习框架，训练卷积神经网络根据乳腺影像预测癌症诊断。
Then, using NVIDIA GPUs with the cuDNN-accelerated TensorFlow deep learning framework, they trained a convolutional neural network to predict cancer diagnoses based on breast imaging.包含的深度学习框架是免费的，每个都有自己的开源许可证。
The included deep learning frameworks are free, and each has its own open source licenses.ApacheMXNet是一个功能全面，且具有高度可扩展性的深度学习框架，可支持创建和训练最新型的深度学习模型。
Apache MXNet(incubating) is a full-featured, highly scalable deep learning framework that supports creating and training state-of-the-art AWSDeepLearningAMI支持所有常见的深度学习框架，使您能够定义模型并大规模训练这些模型。
The AWS 苹果的深度学习框架只是为了一个目的：通过网络层级尽可能快地传递数据。
Apple's deep learning frameworks are tuned for just one single purpose: pushing data as quickly as possible through the network's layers.AWS支持各种主要的深度学习框架，可为数据科学家和开发人员提供最开放且最灵活的环境。
Supporting every major deep learning framework, AWS provides the most open and flexible environment for your data scientists and developers.除了通用的深度学习框架外，我们还看到大量的强化学习框架正在发布中，其中包括：.
In addition to general-purpose Deep Learning frameworks, we saw a large number of Reinforcement Torch-是一个基于Lua的深度学习框架，已经被Facebook，Twitter和Google等大公司使用和开发。
Torch is a Lua based deep learning framework that's used among the industry giants including Facebook, Twitter, and Google.现在，您已测试了两种不同的深度学习框架，您已了解如何切换框架。
Now you have tested two different deep learning frameworks, and you have seen how to switch between 而在今年早些时候，NVIDIA还与Facebook联手发布了一个用于创建大规模的分布式培训场景的开源深度学习框架Caffe2。
NVIDIA also teamed up with Facebook earlier in the year to release Caffe2, an open-source deep learning framework for creating large-scale distributed training scenarios.然而，大多数流行的深度学习框架都是在一个服务器上，而不是在许多服务器上使用GPU。
However, most popular deep learning frameworks scale across GPUs or learners within a server, but not to many servers with GPUs.PyTorch的下载量已经超过110万次，是ArXiv上个月引用量第二大的深度学习框架。
It has more than 1.1 million downloads and is the second-most cited deep learning framework on arxiv over the last month.Caffe由伯克利人工智能研究团队开发的Caffe是一个由表达式，速度和模块化组成的深度学习框架。
Developed by the Berkley AI Research team, Caffe is a deep learning framework made for expression, speed, and modularity.在过去几年中，开源社区里对各种新冒出的深度学习框架有着许多的讨论。
During the last few years, there have been lots of discussions among the open source community regarding all the new deep learning frameworks that emerged.目前，旷视全员使用Brain++来训练、部署算法，无须依赖第三方开发的深度学习框架。
Currently, all employees at Megvii train and deploy algorithms using Brain++, without relying on deep learning frameworks developed by third parties.目前PyTorch有超过110万次的下载量，并且在过去的一个月中，它是arXiv上引用量第二多的深度学习框架。
It has more than 1.1 million downloads and is the second-most cited deep learning framework on arxiv over the last month.在过去的几年中，开源社区已经对所有新出现的深度学习框架讨论不断。
During the last few years, there have been lots of discussions among the open source community regarding all the new deep learning frameworks that emerged.
