Examples of using Tensorflow in English and their translations into Chinese
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TensorFlow™ is an open-source software library, which was originally developed by researchers and engineers working on the Google Brain Team.
TensorFlow™是一个开源软件库，最初由研究GoogleBrainTeam的研究人员和工程师开发。Technologies like TensorFlow will commodify deep learning, and AI will be something we take for granted in consumer products.
像TensorFlow这样的技术会把深度学习商业化，AI也将成为消费品中理所当然的东西。This guide starts with the fundamentals of the TensorFlow library which includes variables, matrices, and various data sources.
本指南从TensorFlow库的基础开始，该库包括变量、矩阵和各种数据源。Once we have built the entire graph, we can create a TensorFlow session and run it on actual data.
一旦我们构建了整个图，我们可以创建一个TensorFlow会话并在实际数据上运行它。TensorFlow is faster, smarter, and more flexible than our old system, so it can be adapted much more easily to new products and research.".
TensorFlow比我们过去的系统更快、更智能也更加具有弹性，能够更简单地在新产品和新研究中加以采用。TensorFlow programs use the tensor data structure to represent all data only tensors are passed between operations in the computation graph.
TensorTensorFlow程序使用tensor数据结构来代表所有的数据,计算图中,操作间传递的数据都是tensor.What's more, Python DL frameworks(e.g., PyTorch and Tensorflow) still hand off the key methods to opaque implementations.
此外，像PyTorch和Tensorflow这样的PythonDL框架仍然将核心方法交给不透明的实现。Machine learning engines like TensorFlow, Keras, PyTorch, and Caffe2 are making it easier for data scientists and developers to do scalable machine learning.
诸如TensorFlow、Keras、PyTorch以及Caffe2等机器学习引擎，可帮助数据科学家和开发人员更轻松地进行可扩展的机器学习。Prebuilt Python binaries for TensorFlow version 1.3(current at the time of publication) are available for the operating systems listed in the following table.
为TensorFlowV1.3（本文发表时的最新版本）预先构建的Python库可用于下表中列出的操作系统。If you are developing in TensorFlow and want to do spectrogram computation on the GPU, that is also possible.
如果你在TensorFlow上开发并且想在GPU上做时频谱计算，也是可以的。You can think of the TensorFlow tensor as an n-dimensional array or list.
你可以认为一个TensorFlow的tensor是一个n维数组或者列表。Just about anyone within Google can access TensorFlow to make their product smarter and more effective.
TensorFlow is very accessible from Python, and includes the TensorBoard tool, which lends a strong advantage in debugging and inspecting networks.
TensorFlow用的是Python语言，它还包含了TensorBoard，这个工具在调试和检查网络方面有很大的优势。Swift for TensorFlow sounds like a cool project, but we will wait until it's more mature before thinking about using it,” concludes Grant.
SwensforTensorFlow听起来像一个很酷的项目，但我们会等到它更成熟才考虑使用它，“格兰特总结道。TensorFlow is an open source software library which is originally developed by researchers and engineers who were working on the Google Brain Team.
TensorFlow™是一个开源软件库，最初由研究GoogleBrainTeam的研究人员和工程师开发。Like TensorFlow and DMTK, it's written in C++, although Python is used to automate and coordinate nodes.
VelesWEBTensorFlow和DMTK一样，它是用C++编写的，尽管它使用Python来执行节点之间的自动化和协调。In this case, we ask TensorFlow to minimize cross_entropy using the gradient descent algorithm with a learning rate of 0.5.
在这里，我们要求TensorFlow用梯度下降算法（gradientdescentalgorithm）以0.01的学习速率最小化交叉熵。The Tensorflow Dev Summit with talks on Deep Learning basics and relevant Tensorflow APIs.
Tensorflow开发峰会，内容涉及深度学习方面的基础知识和相关的TensorflowAPI。While it is possible to initialize variables individually, you can easily initialize all the variables in a TensorFlow graph as follows.
尽管您可以逐一初始化各个变量，但您也可以轻松地初始化一个TensorFlow图中的所有变量（如下所示）：.It allows users to choose whether the models they build are executed on Theano's or TensorFlow's symbolic graph.
它允许用户选择其所构建的模型是在Theano上或是在TensorFlow上的符号图上执行。
