的深度学习框架 英语是什么意思 - 英语翻译

• deep-learning framework
• deep learning framework
• deep learning frameworks
• deep-learning frameworks

在 中文 中使用 的深度学习框架 的示例及其翻译为 英语

Js，这是用Javascript实现的开源深度学习框架Tensorflow。
Js, a Javascript implementation of Tensorflow, its open-source deep-learning framework.

Keras是最广泛使用的深度学习框架之一。
Keras is one of the most widely used Deep Learning frameworks out there.

各种成熟的深度学习框架可用于不同的编程语言。
Various mature Deep Learning frameworks are available for different programming languages.

PyTorch是一个使用Python的常用深度学习框架。
Keras is one of the most widely used deep learning frameworks for Python.

Theano：用Python编写的最古老的深度学习框架之一。
Theano: one of the oldest deep learning frameworks, written in Python.

Caffe是最流行的深度学习框架之一。
Caffe boasts as being one of the fastest of the deep learning framework.

PyTorch是主流的深度学习框架。
Pytorch is a Deep Learning framework.

Caffe是一个有效的深度学习框架。
Caffe is a deep learning framework.

MXNet致力于提供兼顾性能与灵活性的深度学习框架。
MXNet is a deep learning framework designed for both efficiency and flexibility.

MicrosoftCognitiveToolkit：这是MicrosoftResearch开发的深度学习框架。
Microsoft Cognitive Toolkit, is a deep learning framework developed by Microsoft Research.

亚马逊选择MXNet作为AWS的深度学习框架。
Moreover, Amazon has selected MXnet as its deep learning framework at AWS.

TensorFlow是Google于2015年创建的深度学习框架。
TensorFlow is a deep learning framework created in 2015 by Google.

Caffe是一个强大的深度学习框架。
Caffe is a deep learning framework.

MicrosoftCognitiveToolkit：这是MicrosoftResearch开发的深度学习框架。
Microsoft Cognitive Toolkit: This is a deep learning framework developed by Microsoft.

Deeplearning4J：商业支持的深度学习框架，在Java环境中性能强大，对企业应用具有一定的吸引力。
Deeplearning4J: a commercially-supported deep learning framework with strong performance in a Java environment, making it attractive for enterprise applications.

ApacheMXNet是一种现代化的开源深度学习框架，用于培训和部署深度神经网络。
Apache MXNet is an open-source deep-learning framework used to train and deploy deep neural networks.

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。
Kumar's team does its local processing using the TensorFlow deep learning framework container from NVIDIA GPU Cloud(NGC) on NVIDIA TITAN and GeForce GPUs.

ChrisNicholson是Skymind的首席执行官，也是Deeplearning4j的合作创始人，Deeplearning4j是JVM上最受欢迎的开源深度学习框架。
Chris Nicholson is co-founder and CEO of Skymind, the company behind Deeplearning4j, which is the most popular deep-learning framework for Java.

MXNet是一个用C++编写的深度学习框架，具有多种语言绑定，并支持分布式计算，包括多GPU。
MXNet is a deep learning framework written in C++ with many language bindings, and supports distributed computing, including multi-GPU.

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发布：.
In addition to general-purpose Deep Learning frameworks, we saw a large number of Reinforcement Learning frameworks being released.

Keras是最受欢迎且发展最快的深度学习框架之一，被广泛推荐为上手深度学习的最佳工具。
Keras, one of the most popular and fastest-growing deep-learning frameworks, is widely recommended as the best tool to get started with deep learning.

MXNet-是支持语言最多的深度学习框架之一，支持R，Python，C++和Julia等语言。
MXNet is one of the most languages-supported deep learning frameworks with support for languages such as R, Python, C++ and Julia.

我们的全光深度学习框架能够以光速执行各种复杂任务，基于计算机的神经网络也可以实现这些任务。
Our all-optical deep learning framework can perform, at the speed of light, various complex functions that computer-based neural networks can implement”.

AI芯片还将与百度自主研发的PaddlePaddle深度学习框架深度结合，推动AI行业生态快速发展。
The AI chip will also be combined with Baidu's PaddlePaddle deep learning framework to promote the rapid development of the AI industry.

它将热门的开源深度学习框架、高效的AI开发工具和经过加速的IBM®PowerSystems™服务器融为一体。
It combines popular open-source deep learning frameworks, efficient AI development tools and accelerated IBM Power Systems servers.

另一个信号是，阿里云开始支持其他几家公司的深度学习框架，其中还包括谷歌的TensorFlow和亚马逊的MXNet。
Another such signal is that Alibaba's cloud supports several other companies' deep-learning frameworks, including Google's TensorFlow and Amazon's MXNet.

Nervana这家公司开发了自己的深度学习硬件和软件平台，它提供了一种名为Neon的深度学习框架，.
Nervana, a company building its own deep-learning hardware and software platform, has offered up a deep-learning framework named Neon as an open source project.

我们在AWS上支持的流行的深度学习框架的几个例子包括：Caffe、CNTK、MXNet、TensorFlow、Theano和Torch。
Some examples of popular deep learning frameworks that we support on AWS include Caffe, CNTK, MXNet, TensorFlow, Theano, and Torch.

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 and has been used and developed by big players such as Facebook, Twitter and Google.