配置深度学习tensorflow 的相关内容

阿里云文档 2024-09-10

部署NGC容器环境（基于TensorFlow）构建深度学习开发环境

NGC（NVIDIA GPU CLOUD）是NVIDIA开发的一套深度学习生态系统，方便您免费访问深度学习软件堆栈，建立适合深度学习的开发环境。本文以搭建TensorFlow深度学习框架为例，为您介绍如何在GPU实例上部署NGC环境以实现深度学习开发环境的预安装。

文章 2023-08-03 来自：开发者社区

系统类配置(二)【深度学习装机详细教程-ubuntu16.04下安装cuda9.0+nvidia-384+cudnn7.1.4+tensorflow1.9。】（下）

之后我们再切换到我们cuda文件的位置，在我这里就是在当前目录下，然后我们运行它：sudo sh cuda_9.0.xx_xx_linux.run对应自己的文件名称。之后我们进入nvidia的协议里面，需要我们看他的协议：我们敲回车，敲到100%之后它显示问我们是不是接受这个东西，我们在终端输入accept。然后提示是否安装nivdia的驱动，我们不需要安装这个，输入n，之后敲回车：遇到提示是否....

文章 2023-08-03 来自：开发者社区

系统类配置(二)【深度学习装机详细教程-ubuntu16.04下安装cuda9.0+nvidia-384+cudnn7.1.4+tensorflow1.9。】（上）

本机配置：i7-8700 GTX1070。经测试，本方案在i7-9700K TITAN XP; i7-7700K TITAN X上都也适用：在安装之前首先感谢实验室师弟写的博客，但是写的估计有点乱，为了实验室以后装cuda这些东西方便一些，这里配上图，改进了一下之前师弟写的教程，更易懂一点：1.安装nvidia-384：进入软件更新，附加驱动，选择nvidia-384，之后点击右下角的应用更改，....

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