Skip to content

tongda/tf-tutorial

 
 

Repository files navigation

TensorFlow 教程

欢迎来到TensorFlow教程

在开始之前,请在你的电脑上安装TensorFlow环境

要完成这个教程,你可以参考以下几种选项之一:

  1. 直接在Mac上安装TensorFlow。 推荐, 因为这会在你的电脑上安装最新版本的TensorFlow,并且运行的更快。

  2. 在Mac使用Docker安装TensorFlow。 如果你无法安装原生的TensorFlow,或者你已经有了Docker,可以试试这个。

  3. 直接在Linux机器上安装TensorFlow。

注意,TensorFlow目前无法原生支持Windows

如果遇到问题,可以到官网找到完整的安装指南 http://tensorflow.org.

TensorFlow Tutorial

Welcome to the TensorFlow Tutorial.

Please install TensorFlow on your computer before you arrive.

For this tutorial, you can do one of the following:

  1. Install TensorFlow directly on your Mac. This is recommended, as it installs the least amount on your computer and will run the fastest.

  2. Use Docker on Mac, running TensorFlow in a local VM. If for some reason you can't install TensorFlow natively or already have Docker installed, you can try this.

  3. Install TensorFlow directly on your Ubuntu/Linux machine.

Note that TensorFlow is not currently supported natively on Windows.

If you run into trouble, our full install instrictions are available on http://tensorflow.org.

About

Short tutorial for TensorFlow, designed to be presented in-person

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Jupyter Notebook 100.0%