What is the translation of " MXNET " in Chinese?

• mxnet

Examples of using Mxnet in English and their translations into Chinese

Notebooks with MXNet Gluon.
深度学习MXNetGluon.

MXNET by Distributed(Deep) Machine Learning Community.
分布式（深度）机器学习社区的MXNET。

To test your installation, use Python to write MXNet code that creates and prints an array using the NDArray API.
要测试您的安装，请使用Python编写MXNet代码，以使用NDArrayAPI创建并打印数组。

MXNET had more books than expected and Theano had fewer.
MXNET的书比期望的多，而Theano的书比期望的少。

This allows you to perform distributed training, and makes sure that MXNet is compiled using USE_DIST_KVSTORE=1.
这使得你可以进行分布式训练，并且确保可以使用USE_DIST_KVSTORE=1对MXNet进行编译。

MXNet is a flexible and efficient library for Deep Learning.
MXNetMXNet是一个兼具效率和灵活性的深度学习框架。

While I used 2018 data only in this analysis, I should note that Theano, MXNET, and CNTK saw usage fall since 2017.
尽管我在分析中只使用了2018年的数据，我需要指出，2017年后，Caffe、Theano、MXNET、CNTK的使用量下降了。

MXNet is a deep learning framework designed for both efficiency and flexibility.
MXNET是一个深的学习为效率和灵活性设计的框架。

TensorFlow support is to be the first framework supported by the product, with CNTK, Amazon's MXNet and others to follow thereafter.
谷歌TensorFlow的支持是第一个产品框架支持，CNTK、亚马逊的MXNeT和其他公司紧随其后。

The MXNet library is portable and can scale to multiple GPUs and multiple machines.
MXNet库是可移植的，可扩展到多个GPU和多个机器。

By now they have been superseded by TensorFlow, often used via its high level API Keras, CNTK, Caffe 2, and Apache MxNet.
如今它们已经被TensorFlow（经常是以高层APIKeras的形式被使用）、CNTK、Caffe2和ApacheMXNet所取代。

MXNet has its roots in academia and came about through the collaboration and contributions of researchers at several top universities.
MXNet根源于学术界，它是几家知名大学的研究人员的合作和贡献的结晶。

An outsider might get the impression that the project stalled while the deep learning community moved on to TensorFlow, CNTK and MXNet.
局外人可能会有这样的印象:当深度学习社区转向TensorFlow、CNTK和MXNet时，该项目陷入了停滞。

MXNet is one of the most languages-supported deep learning frameworks with support for languages such as R, Python, C++ and Julia.
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。

An outsider might get the impression that the project stalled while the deep learning community moved on to TensorFlow, CNTK and MXNet.
局外人可能会得到这样一个印象：当深度学习社区转移到TensorFlow、CNTK和MXNet时，项目就停滞不前。

MXNet is a deep learning framework written in C++ with many language bindings, and supports distributed computing, including multi-GPU.
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。

At AWS we are very open about supporting all deep learning frameworks like from Apache MXNet to TensorFlow to Caffe to Theano and more.
在AWS，我们非常开放，支持所有深度学习框架，如从ApacheMXNet到TensorFlow到Caffe到Theano等等。

We encouraged MXNet to become an Apache Incubating project in January, 2017, and hired some of the committers to work on the project full-time.
年1月，我们鼓励MXNet成为一个Apache孵化项目，并聘用了一些提交者全职为该项目工作。

Some examples of popular deep learning frameworks that we support on AWS include Caffe, CNTK, MXNet, TensorFlow, Theano, and Torch.
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。

Deep learning frameworks like TensorFlow, PyTorch, Caffe, MXNet, and Chainer have reduced the effort and skills needed to train and use deep learning models.
像TensorFlow、PyTorch、Caffe、MXNet和Chainer这样的深度学习框架减少了训练和使用深度学习模型所需的工作量和技能。

Another such signal is that Alibaba's cloud supports several other companies' deep-learning frameworks, including Google's TensorFlow and Amazon's MXNet.
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。

AWS and Microsoft last month announced plans for Gluon, a new interface in Apache MXNet that allows developers to build and train deep learning models.
AWS和微软上个月宣布了在ApacheMXNet上的一个新Gluon接口计划，该计划允许开发人员构建和训练深度学习模型。

MXNet can improve computing performance through automatic parallel computation, such as parallel computation using the CPU and GPU and the parallelization of computation and communication.
MXNet能够通过自动并行计算提升计算性能，例如CPU和GPU的并行以及计算和通讯的并行。

Designing computation tasks that include more complex data dependencies, and run experiments to see if MXNet can obtain the correct results and improve computing performance.
设计包含更加复杂的数据依赖的计算任务，通过实验观察MXNet能否得到正确的结果并提升计算性能。

Today Amazon SageMaker has open sourced the MXNet and Tensorflow deep learning containers that power the MXNet and Tensorflow estimators in the SageMaker SDK.
今天，AmazonSageMaker构建了开源型MXNet和Tensorflow深度学习容器，助力SageMakerSDK中的MXNet和Tensorflow估计器。

AWS supports all the major machine learning frameworks, including TensorFlow, Caffe2, and Apache MXNet, so that you can bring or develop any model you choose.
AWS支持所有主流机器学习框架，包括ApacheMXNet、TensorFlow和Caffe2，以便您可以引入或开发您选择的任何模型。

The Apache MXNet community earlier this month introduced version 0.12 of MXNet, which extends Gluon functionality to allow for new, cutting-edge research, according to AWS.
根据AWS的说法，本月早些时候，ApacheMXNet社区推出了MXNet的0.12版本，它扩展了Gluon的功能，以便进行新的尖端研究。

The Gluon interface currently works with the deep learning framework Apache MXNet and will support Microsoft Cognitive Toolkit(CNTK) in an upcoming release.
Gluon接口当前使用深度学习框架ApacheMXNet，并将在即将推出的版本中支持MicrosoftCognitiveToolkit(CNTK)。

HE-Transformer effectively adds an abstraction layer that can be applied to neural networks on open source frameworks such as Google's TensorFlow, Facebook's PyTorch, and MXNet.
HE－Transformer实际上是一个抽象层，该抽象层可应用于Google的TensorFlow、Facebook的PyTorch和MXNet等开源框架上的神经网络。