TENSORFLOW 中文是什么意思 - 中文翻译

• tensorflow
• 一个tensorflow

在 英语 中使用 Tensorflow 的示例及其翻译为 中文

Now everyone can use TensorFlow.
现在每个人都可以使用风水。

TensorFlow: Smarter machine learning, for everyone.
TensorFlow:更智能的机器学习，为所有人而生.

Finally, it's time to install TensorFlow.
终于，是时候安装TensorFlow了。

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。

How can I visualize a TensorFlow graph?
我怎样视觉化一个TensorFlowgraph？?

Powered by TensorFlow: utilizing deep learning to better predict extreme weather.
PoweredbyTensorFlow:利用深度学习更好的预测极端气候.

The visualisation tool built for TensorFlow is TensorBoard.
为TensorFlow构建的可视化工具是TensorBoard。

TensorFlow defines the Optimizer as a method“to compute gradients for a loss and apply gradients to variables.”.
TensorFlow将优化器定义为“计算损失梯度并将梯度应用于变量的方法”。

To begin the training process, go to the TensorFlow source tree and run:.
要开始训练过程，请访问TensorFlow源代码树下载并运行：.

Chellapilla: For someone starting out, I would suggest picking up R, scikit-learn, NLTK/spaCy, and TensorFlow.
Chellapilla：对于起步者，我建议选择R，scikit-learn，NLTK/spaCy和TensorFlow。

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。

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）：.

You can think of the TensorFlow tensor as an n-dimensional array or list.
你可以把一个TensorFlow的tensor想象成是一个N维的数组或者列表。

In order to deal with the challenges mentioned above, the heart of Duplex is a RNN network, which is built by TensorFlow Extended(RFX).
为了处理上面提到的挑战，Duplex的核心是一个RNN网络，它是由TensorFlowExtended（RFX）构建的。

We will be hosting another TensorFlow Developer Summit on March 30, 2018 in the Bay Area.
我们将在2018年3月30日在湾区举办另一个tensorflow开发者峰会。

TensorFlow Extended is an end-to-end platform for preparing data, training, validating, and deploying models in large production environments.
TensorFlowExtended，是一个端到端平台，用于在大型生产环境中准备数据、培训、验证和部署模型。

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。

Similarly to HTML, Tensorflow is a framework for representing a certain type of computational abstraction(known as“computation graphs”).
与HTML类似，Tensorflow是用于表示某种类型的计算抽象（称为“计算图”）的框架。

Using a dataset of more than 15,000 labeled Kepler signals, we created a TensorFlow model to distinguish planets from non-planets.
使用超过15000个标记开普勒信号的数据集，我们创建了一个TensorFlow模型来区分行星和非行星。

TensorFlow was designed to make it easy to train deep neural networks in parallel and on multiple GPUs, but it also supports traditional algorithms.
TensorFlow的设计目的是使并行和多GPU上的深度神经网络更容易训练，但它也支持传统的算法。

Now if we bind our tensor to the TensorFlow session, we will be able to see the results of our conversion.
现在，如果我们将张量绑定到TensorFlow会话，我们将能够看到我们转换的结果。

TensorFlow is Google's open source machine learning and neural network library, and it underpins most if not all of Google's applied machine learning services.
TensorFlow是谷歌的开源机器学习和神经网络库，它支撑着谷歌大部分（如果不是全部）的应用机器学习服务。

Estimator class, which encapsulates logic that builds a TensorFlow graph and runs a TensorFlow session.
Estimator类的一个例子，封装logic以建立一个TensorFlow图并运行一个TensorFlowsession。

Google TensorFlow has become the darling of financial firms and research organizations, but the technology can be intimidating and the learning curve is steep.
GoogleTensorFlow已经成为金融公司和研究机构的宠儿，但它的技术可能很吓人，学习曲线也很陡峭。

We need Raspbian Stretch 9 installed, since TensorFlow 1.9 officially supports the Raspberry Pi if you are running Raspbian 9.
我们需要安装RaspbianStretch9，因为在运行Raspbian9时，TensorFlow1.9正式支持树莓派。

As already mentioned, many professional data scientists choose to use open source machine learning tools, such as TensorFlow, Apache Spark's MLlib or Caffe.
如前所述，许多专业数据科学家选择使用开源机器学习工具，如TensorFlow，ApacheSpark的MLlib或Caffe。

The added advantage of using Docker is that TensorFlow servers can access physical GPU cores(devices) and assign them specific tasks.
使用Docker的附加好处是，TensorFlow服务器能访问物理GPU核心（设备），并为它们分配特定任务。

In the following, I suppose that the reader has its Go environment ready and the Tensorflow bindings compiled and installed as explained in the README.
在下文中，我假设读者已经准备好Go环境，并按照README中的说明编译并安装了Tensorflow绑定。

Using downloaded data from Yelp, you will learn how to install TensorFlow and Keras, train a deep learning language model and generate new restaurant reviews.
通过使用从Yelp下载的数据，您将了解如何安装TensorFlow和Keras、训练深度学习语言模型，并生成全新的餐厅评论。

AWS supports all the major machine learning frameworks, including TensorFlow, Caffe2, and Apache MXNet, so that you can bring or develop any model you choose.
AWS支持所有主流机器学习框架，包括ApacheMXNet、TensorFlow和Caffe2，以便您可以引入或开发您选择的任何模型。