配置:
Windows 10专业版(版本10.0.15063)
Intel Core i3-3420 @ 3.4GHz
GeForce GTX 1060 6GB
RAM 16GB
需要文件:
vs2015.3.pro_chs.iso
cuda_8.0.61_win10.exe
cudnn-8.0-windows10-x64-v5.0-ga.zip
Anaconda3-4.2.0-Windows-x86_64.exe
1,安装VS2015或2013
2,安装CUDA8.0
配置环境变量
CUDA_HOME:C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v8.0
添加path变量:
C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v8.0\lib\x64
C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v8.0\extras\CUPTI\libx64
3,安装cudnn
解压cudnn-8.0-windows10-x64-v5.0-ga.zip
复制粘贴lib,include,bin文件夹到
C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v8.0下
4,安装Anaconda
5,安装tensorfow
conda create -n tensorflow
activate tensorflow
pip install --ignore-installed --upgrade https://storage.googleapis.com/tensorflow/windows/cpu/tensorflow- 1.1.0-cp35-cp35m-win_amd64.wh
6,安装keras
pip install keras