Examples of using 的机器学习框架 in Chinese and their translations into English
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AWS支持所有主要的机器学习框架，包括TensorFlow、Caffe2和ApacheMXNet，以便您可以引入或开发您选择的任何模型。
AWS supports all the most important Machine Learning frameworks, together with TensorFlow, Caffe2, and Apache MXNet, so you will bring or develop any model you select.最初于2017年发布的Caffe（用于快速特征嵌入的卷积体系结构）是一种专注于表现力，速度和模块性的机器学习框架。
Initially released in 2017, Caffe(Convolutional Architecture for Fast Feature Embedding) is a machine learning framework that focuses on expressiveness, speed, and modularity.该公司的人工智能生态系统包括三个主要组成部分：基础设施、运行在上面的工作流管理软件，以及像PyTorch这样的核心机器学习框架。
The company's AI ecosystem includes three major components: the infrastructure, workflow management software running on top, and the core machine learning frameworks such as PyTorch.Caffe最初于2017年发布的Caffe（ConvolutionalArchitectureforFastFeatureEmbedding，用于快速特征嵌入的卷积结构）是一种专注于表现力、速度和模块性的机器学习框架。
Initially released in 2017, Caffe(Convolutional Architecture for Fast Feature Embedding) is a machine learning framework that focuses on expressiveness, speed, and modularity.如何选择开源的机器学习框架？
How to choose an open source machine learning framework.TensorFlow：最受欢迎的机器学习框架.
TensorFlow- most popular deep learning framework.此外，tensorflow仍然是最受欢迎的机器学习框架。
TensorFlow is still far and away the most popular machine learning framework.支持所有常见的机器学习框架（例如：ApacheSparkML、TensorFlow、H2O）.
Any popular machine learning framework like(including Apache SparkML, TensorFlow, and H2O).NET的一部分，ML.NET是.NET开发人员的机器学习框架。
NET- the machine learning framework for. NET developers.ApacheMahout是一个开源框架，旨在开发可扩展的机器学习框架。
Apache Mahout, being an open source 神经网络是一个试图模仿自然生物神经网络的学习模式的机器学习框架。
Neural Networks are a machine learning framework that attempts to mimic the 不管您采用何种评估方式,PyTorch都是当今世界上最受欢迎的机器学习框架。
Depending on how you measure it, PyTorch is the most popular machine learning framework in the world today.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 Chollet解释说，Keras被认为是一个接口，而不是一个端到端的机器学习框架。
Chollet explained that Keras was conceived to be 在今年的I/O大会上，Google发布了TensorFlowLite，它是一种简化版的机器学习框架。
This spring at I/O, Google released TensorFlow lite, it's version of a streamlined machine learning framework.它支持许多常见的机器学习框架，如Caffe、MxNet和Tensorflow，以及Python和RESTfulAPI等。
It provides support for many common machine learning frameworks such as Caffe, MxNet and Tensorflow as well as Python and RESTful APIs.在今年的I/O大会上，Google发布了TensorFlowLite，它是一种简化版的机器学习框架。
In the recently conducted I/O conference, Google released TensorFlow Lite which is a streamlined machine learning framework.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 Caffe于2017年发布，是一家小巧的机器学习框架，面向专注于速度、模块化和表现力的人工智能开发公司。
Caffe, released in 2017, is known as a smaller machine learning framework for 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.
