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This article mainly explains the "Tensorflow and Pytorch framework installation tutorial", the article explains the content is simple and clear, easy to learn and understand, the following please follow the editor's ideas slowly in depth, together to study and study the "Tensorflow and Pytorch framework installation tutorial" bar!

Before installing the deep learning framework, you first need to install Anaconda3,cuda8.0 and cudnn5.1.

1. Install Anaconda3

Anaconda3 can be downloaded from the official website, or go to the Tsinghua mirror website, the address is https://mirrors.tuna.tsinghua.edu.cn/anaconda/archive/, I chose the Anaconda3-4.2.0-Windows-x86_64 version.

After the download is completed, we can directly press the default installation, this installation process is more time-consuming, we wait patiently.

2. Install cuda8.0 and cudnn5.1

If your computer does not have a Nvidia graphics card, please skip step 2 directly.

The download address for cuda8.0 is https://developer.nvidia.com/cuda-80-ga2-download-archive. After the download is completed, you can install it directly by default.

After the download is complete, we put the three files in the corresponding installation directory of cuda.

4. Install cpu and gpu versions of Pytorch

If your computer is a win10 low-end computer without a Nvidia graphics card, you can only install the CPU version of Pytorch. Type: pip install http://download.pytorch.org/whl/cpu/torch-0.4.0-cp35-cp35m-win_amd64.whl in cmd.

If your computer is a win10 high-end computer with Nvidia graphics card, you can install CPU version of Pytorch or install GPU version of Pytorch, for example, install GPU version of Pytorch, type: pip install http://download.pytorch.org/whl/cu80/torch-0.4.0-cp35-cp35m-win_amd64.whl in cmd.

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