Examples of using Machine learning framework in English and their translations into Chinese
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Their machine learning framework is deeply tied to their own cloud platform.
他们的机器学习框架是和自己的云平台深度绑定。TensorFlow: An open-source machine learning framework for everyone.
Tensorflow:适合所有人的开放源代码机器学习框架。Unlike TensorFlow, CNTK, and Theano,Keras is not meant to be an end-to-end machine learning framework.
与TensorFlow，CNTK和Theano不同，Keras并不是一个端到端的机器学习框架。Lastly, we want to tell the machine learning framework how to train the model.
最后，我要告诉机器学习框架如何训练模型。TensorFlow is still far and away the most popular machine learning framework.
TensorFlow仍然是最受欢迎的机器学习框架。The implementation of a machine learning framework requires a lot of preparation.
机器学习框架的实现需要做大量准备工作。In November 2015, Google released TensorFlow,an open source machine learning framework.
年，谷歌开放了机器学习框架的TensorFlow。NET, our open source machine learning framework built for. NET developers.
NET，这是为.NET开发人员生成的开放源代码机器学习框架。An Apache Foundation project,Mahout is an open source machine learning framework.
它是Apache基金会项目，Mahout是一个开源机器学习框架。NET is an open source machine learning framework which aims to make ML accessible to, you guessed it,. NET developers.
NET是一个开源的机器学习框架，旨在让ML面向.NET开发人员。Depending on how you gauge it,PyTorch is the most popular machine learning framework in the world today.
不管你如何评价，PyTorch是当今世界上最受欢迎的机器学习框架。TensorFlow, the Google-driven machine learning framework, was one of our top projects from the 2015 Open Source Yearbook.
TensorFlow是谷歌支持的机器学习框架，是我们2015年年度最佳开源项目之一。Unlike the likes of TensorFlow, CNTK, Theano,Keras is not meant to be an end to end machine learning framework.
与TensorFlow，CNTK和Theano不同，Keras并不是一个端到端的机器学习框架。Much like Microsoft's DMTK, Google TensorFlow is a machine learning framework designed to scale across multiple nodes.
与微软的DMTK很类似，GoogleTensorFlow是一个机器学习框架,旨在跨多个节点进行扩展。SystemML is a machine learning framework built with multiple backend support, including Apache Spark and Apache Hadoop.
SystemML是一个机器学习框架，由多个项目在背后支撑，包括ApacheSpark和ApacheHadoop。TensorFlow 2.0,the next major version of Google's open source machine learning framework, will see its first beta version in late 2018.
TensorFlow2.0是谷歌开源机器学习框架的下一个主要版本，将于2018年末推出其首个测试版。A related field, machine learning, figured in at 38 percent of users, with TensorFlow(25 percent)being the most commonly used machine learning framework.
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。Like Microsoft DMTK, Google TensorFlow is a machine learning framework designed to distribute computations within a cluster.
与微软的DMTK很类似，GoogleTensorFlow是一个机器学习框架,旨在跨多个节点进行扩展。In the related field of machine learning, cited by 38% of users,the most commonly used machine learning framework is TensorFlow(25%).
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。SenseTime has devoted extensive resources its own machine learning framework, Parrots, which is intended to be superior for computer vision AI applications.
商汤投入了大量资源，拥有自己的机器学习框架Parrots，旨在优于计算机视觉AI应用程序。At the TensorFlow Dev Summit 2018,Google announced the JavaScript implementation of TensorFlow, their machine learning framework, called TensorFlow. js.
在2018年的TensorFlow开发者峰会上，Google宣布了他们的机器学习框架TensorFlow的JavaScript实现，称为TensorFlow.js。H20 is an open-source, fast, scalable and distributed machine learning framework, plus the assortment of algorithms equipped on the framework. .
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。Datumbox is an open-source Machine Learning framework written in Java which allows the rapid development of Machine Learning and Statistical applications.
Datumbox是一个用Java编写的开源机器学习框架，允许快速开发机器学习和统计应用。Apache PredictionIO(incubating) is an open source machine learning framework for developers, data scientists, and end users.
推荐：ApachePredictionIO是供开发者、数据科学家和终端用户使用的开源机器学习框架。Mahout is an example of a machine learning framework that was popular on Apache Hadoop, while Apache Spark's MLlib library today has become a standard.
Mahout是ApacheHadoop上受欢迎的一个机器学习框架，而ApacheSpark的MLlib库已经成为一个标准。And scientists at Queensland University used Google's TensorFlow machine learning framework to train an algorithm that can automatically detect sea cows in ocean images.
昆士兰大学的科学家也在使用谷歌的TensorFlow机器学习框架来训练一种能够自动检测海洋图像中海牛的算法。It's a light-weight pandas-based machine learning framework pluggable with existing python machine learning and statistics tools(scikit-learn, rpy2, etc.).
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）。
