What is the translation of " 的学习框架 " in English?

• learning framework
• learning frameworks

Examples of using 的学习框架 in Chinese and their translations into English

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.

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.

我们将这两种视图结合在一个受监督的机器学习框架中，这样我们便能够在TLS通信中检测已知和未知的威胁。
We combine both of these views in a supervised machine learning framework allowing us to detect both known and unknown threats in TLS communication.

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.

神经网络并不是唯一使用的机器学习框架，但其他的人工智能框架似乎也容易遭受这些怪异事件的影响。
Neural networks aren't the only machine learning frameworks in use, but the others also appear vulnerable to these weird events.

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.

它是一个轻量级的机器学习框架，可插入已有的Python学习和统计工具（如scikit-learn、rpy2等）。
It's a light-weight pandas-based machine learning framework pluggable with existing python machine learning and statistics tools(scikit-learn, rpy2, etc.).

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.

重要的是，它可以与流行的机器学习框架(如Google的TensorFlow和Facebook的PyTorch)以及Arm自己的解决方案很好地配合使用。
Importantly, it plays nicely with popular machine learning frameworks like Google's TensorFlow and Facebook's PyTorch, plus Arm's own solutions.

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.

NET是一个开源的机器学习框架，旨在让ML面向.NET开发人员。
NET is an open source machine learning framework which aims to make ML accessible to, you guessed it,. NET developers.

蒙台梭利课程是一个创新的学习框架，它融合了特定的学习成果和知识技能，符合儿童的发展需要和兴趣。
The Montessori Curriculum is an innovative learning framework that incorporates specific learning outcomes and knowledge skills that align with children's developmental needs and interests.

但是，如果你熟悉TensorFlow或Theano等传统的深度学习框架，就知道它们很难实现这样的动态过程。
But if you're familiar with traditional deep learning frameworks like TensorFlow or Theano, it's difficult to implement a dynamic procedure like this.

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.

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 Deep Learning AMIs support all the popular deep learning frameworks allowing you to define models and then train them at scale.

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.

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.

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 Learning frameworks being released, including:.

相关领域、机器学习有38%的用户使用，TensorFlow(25%)是最常用的机器学习框架。
In the related field of machine learning, cited by 38% of users, the most commonly used machine learning framework is TensorFlow(25%).

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.

相关领域、机器学习有38%的用户使用，TensorFlow(25%)是最常用的机器学习框架。
A related field, machine learning, figured in at 38 percent of users, with TensorFlow(25 percent) being the most commonly used machine learning framework.

除了来自许多顶级的机器学习框架的支持，Python非常适合我，因为我有计算机科学背景。
Besides having support from many top machine learning frameworks, Python is good fit for me because I have a computer science background.

CaffeDeepLearningforVisionwithCaffe21小时Caffe是一个深思熟虑的表达，速度和模块化的深度学习框架。
Caffe Deep Learning for Vision with Caffe 21 hours Caffe is a deep learning framework made with expression, speed, and modularity in mind.

了解数据科学界的最新发展（如：“增强学习”），并将其纳入现有的机器学习框架。
Understanding of recent development(Reinforcement Learning) in the field of Data Science and incorporate them into the existing Machine Learning frameworks.

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.

H20是一个开源的，快速的，可扩展和分布式的机器学习框架，还有框架配备的算法。
H20 is an open-source, fast, scalable and distributed machine learning framework, plus the assortment of algorithms equipped on the framework..

Microsoft和Facebook已经宣布了一个联合项目，使数据分析师更容易地在不同的机器学习框架之间交换经过培训的模型。
Microsoft and Facebook have announced a joint project to make it easier for data analysts to exchange trained models between different machine learning frameworks.

简介：Keras的目标是让每个人都能用上深度学习，它也是增长最快的机器学习框架之一。
Keras has the goal to make deep learning accessible to everyone, and it's one of the fastest growing machine learning frameworks.

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.