What is the translation of " TENSORFLOW " in English?

• tensorflow

Examples of using Tensorflow in Chinese and their translations into English

Tensorflow中的变量共享.
Variable types in TensorFlow.

在这里了解更多关于TensorFlow!
Learn more about TensorFlow here!

Tensorflow中的变量共享.
Sharing Variables in Tensorflow.

并且这个模型在tensorflow中得到了实现。
This model was implemented in TensorFlow.

TensorFlow.js仍处于早期阶段。
Skistats. js is still in early development.

IMDB数据集已经打包在Tensorflow中。
The IMDB dataset comes packaged with TensorFlow.

TensorFlow中的中心数据单位是张量。
The central unit of data in TensorFlow is the tensor.

我是否应该在我的项目中使用Keras或TensorFlow？?
Should I be using Keras vs. TensorFlow for my project?

一种TensorFlow对象，负责保存模型检查点。
A TensorFlow object responsible for saving model checkpoints.

负责存储模型检查点文件的TensorFlow对象。
A TensorFlow object responsible for saving model checkpoints.

它很技术，熟悉TensorFlow会有所帮助。
This gets pretty technical; familiarity with TensorFlow will help.

这需要花费大量的毅力并阅读TensorFlow的资料来。
It took a lot of perseverance and reading TensorFlow's sources.

你将使用Python和TensorFlow实践所有这些想法。
You will practice all these ideas in Python and in TensorFlow.

它的技术性非常强；熟悉TensorFlow会有所帮助。
This gets pretty technical; familiarity with TensorFlow will help.

你将在Python和TensorFlow中练习中实践这些想法。
You will practice all these ideas in Python and in TensorFlow.

IBM宣称其机器学习库比TensorFlow快46倍！!
IBM's Machine Learning Library is 46 Times Faster than TensorFlow!

最后，是时候设置采样器并运行TensorFlow会话了：.
Finally, it is time to set up the sampler and run a TensorFlow session:.

Bitcode目前尚不受TensorFLow的支持，所以我决定将其禁用。
Bitcode is not currently supported by TensorFlow, so I disabled that.

至少掌握一种深度学习框架，如TensorFlow等.
Experience with at least one major deep learning framework such as TensorFlow.

显然，TensorFlow是绝对赢家，还有一些令人惊讶的发现。
While TensorFlow is the clear winner, there were some surprising findings.

构建计算图可以被认为是TensorFlow的主要成分。
Building a computation graph can be considered the major component of TensorFlow.

Tensorflow创建静态图，而PyTorch相信动态图。
While Tensorflow creates a static graph, PyTorch believes in a dynamic graph.

构建一个计算图可以被认为是TensorFlow的主要成分。
Building a computation graph can be considered the major component of TensorFlow.

谷歌于九月在TensorFlow中发布了自己的首个图像字幕模型。
Google released its image captioning model in TensorFlow in September.

根据FakeApp的用户指南，该软件是建立在TensorFlow之上的。
According to FakeApp's user guide, the software is built on top of TensorFlow.

下面的代码是对TensorflowPython绑定的第一次尝试。
The code below is the first attempt that a Tensorflow Python bindings user would make.

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”。
TensorFlow defines the Optimizer as a method“to compute gradients for a loss and apply gradients to variables.”.

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。
Now if we bind our tensor to the TensorFlow session, we will be able to see the results of our conversion.

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。
The added advantage of using Docker is that TensorFlow servers can access physical GPU cores(devices) and assign them specific tasks.

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。
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.