DEEP LEARNING FRAMEWORKS 中文是什么意思 - 中文翻译

• 深度学习框架

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

There are many Deep Learning frameworks in existence today.
我们已经有很多深度学习框架了。

What surprises me is the the absence of Lua, although it is used in one of the major deep learning frameworks(Torch).
让我震惊的是Lua没有被使用，尽管它被用作一个主要的深度学习框架Torch。

One of the most popular deep learning frameworks is Caffe.
最热门的一个深度学习框架是Caffe。

Deep learning frameworks are created with the goal to run deep learning systems efficiently on GPUs.
深度学习框架的创建目标是在GPU上高效运行深度学习系统。

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

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

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

In a sea of new deep learning frameworks, Theano(4) has the distiction of the oldest library in our rankings.
在新的深度学习框架的海洋中，Theano（4）是我们的排名中最古老的库。

Some more recent additions include H2O and various deep learning frameworks such as Caffe and Deeplearning4J.
最近的一些新增的包括H2O和各种深度学习框架，比如Caffe和Deeplearning4J。

As a result, several Deep Learning frameworks have emerged, which allow you to define models and then train them at scale.
因此出现了一些深度学习框架，让您能够定义模型并对其进行大规模训练。

The specifications for Gluon have been published to allow developers and organizations using other deep learning frameworks to take advantage of it.
Gluon的规范已经发布，允许已经使用了其他深度学习框架的开发者和组织使用它。

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

New deep learning frameworks are being created all the time, a reflection of the widespread adoption of neural networks by developers.
新型深度学习框架正在不断地涌现，这表明神经网络得到了开发者的广泛采用。

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。

Most deep learning frameworks require developers to define models and algorithms up-front using lengthy, complex code that is difficult to change.
大部分深度学习框架都要求开发人员使用难以更改而又冗长的复杂代码来提前定义模型和算法。

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。

MathWorks recently joined the ONNX community to demonstrate its commitment to interoperability, enabling collaboration between users of MATLAB and other deep learning frameworks.
MathWorks最近加入了ONNX社区，表明其对互操作性的支持，从而实现MATLAB用户与其他深度学习框架用户之间的协作。

OpenCV supports the deep learning frameworks TensorFlow, Torch/PyTorch and Caffe.
OpenCV支持深度学习框架TensorFlow，Torch/PyTorch和Caffe。

Users can immediately shorten data processing time, visualize more data, accelerate deep learning frameworks, and design more sophisticated neural networks.
也就是说，您可以立即缩短数据处理时间、呈现更多数据、加速深度学习框架并设计更加复杂的神经网络。

In addition to general-purpose Deep Learning frameworks, we saw a large number of Reinforcement Learning frameworks being released, including:.
除了通用深度学习框架外，我们还看到大量的强化学习框架在发布，其中包括：.

RLlib also lets developers use neural networks created with several popular deep learning frameworks, and it integrates with popular third-party simulators.
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。

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

When combined with software development kits tuned for widely used deep learning frameworks, the improvements in training speed can be even greater(Figure 11, below).
在配合针对深度学习框架进行优化的软件开发工具包之后，甚至还可以进一步加快训练速度（见下图11）。

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。

Preferred Networks has developed big data analysis infrastructures and deep learning frameworks, and now focuses on development of deep learning technologies for IoT.
PreferredNetworks开发出大数据分析基础架构和深度学习框架，现在专注于为物联网开发深度学习技术。

In addition to general-purpose Deep Learning frameworks, we saw a large number of Reinforcement Learning frameworks being released, including:.
除了通用型深度学习框架之外，我们还看到大量强化学习框架正在发展当中，具体包括：.

I started looking at ride sharing apps, deep learning frameworks, and other things, but the data is far more sparse and less reliable.
我开始留意共享单车App，深度学习框架还有其他一些东西，但是数据太稀疏了，也不太可靠。

It combines popular open-source deep learning frameworks, efficient AI development tools and accelerated IBM Power Systems servers.
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。

RLlib is designed to support multiple deep learning frameworks(currently TensorFlow and PyTorch) and is accessible through a simple Python API.
RLlib旨在支持多种深度学习框架（目前支持TensorFlow和PyTorch），并可通过简单的PythonAPI使用。