python3.5 caffe(2017.8) cuda8.0 cudnn5.1 VS2015（windows）

CUDA安装

1. 装好显卡（GTX1070）
2. 下载CUDA安装包并安装（用管理员权限打开）

CUDNN安装

1. 下载cudnn类包，并解压
2. 复制文件到C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v8.0的对应文件夹下

CAFFE安装

1. 安装git
2. 下载caffe（git clone https://github.com/BVLC/caffe.git）
3. git checkout windows

4. 修改%CAFFE_ROOT%\scripts\build_win.cmd文件

   ……
   ……
   ) else (
   :: Change the settings here to match your setup
   :: Change MSVC_VERSION to 12 to use VS 2013
   if NOT DEFINED MSVC_VERSION set MSVC_VERSION=14
   :: Change to 1 to use Ninja generator (builds much faster)
   if NOT DEFINED WITH_NINJA set WITH_NINJA=0
   :: Change to 1 to build caffe without CUDA support
   if NOT DEFINED CPU_ONLY set CPU_ONLY=0
   :: Change to generate CUDA code for one of the following GPU architectures
   :: [Fermi Kepler Maxwell Pascal All]
   if NOT DEFINED CUDA_ARCH_NAME set CUDA_ARCH_NAME=Auto
   :: Change to Debug to build Debug. This is only relevant for the Ninja generator the Visual Studio generator will generate both Debug and Release configs
   if NOT DEFINED CMAKE_CONFIG set CMAKE_CONFIG=Release
   :: Set to 1 to use NCCL
   if NOT DEFINED USE_NCCL set USE_NCCL=0
   :: Change to 1 to build a caffe.dll
   if NOT DEFINED CMAKE_BUILD_SHARED_LIBS set CMAKE_BUILD_SHARED_LIBS=0
   :: Change to 3 if using python 3.5 (only 2.7 and 3.5 are supported)
   if NOT DEFINED PYTHON_VERSION set PYTHON_VERSION=3
   :: Change these options for your needs.
   if NOT DEFINED BUILD_PYTHON set BUILD_PYTHON=1
   if NOT DEFINED BUILD_PYTHON_LAYER set BUILD_PYTHON_LAYER=1
   if NOT DEFINED BUILD_MATLAB set BUILD_MATLAB=0
   :: If python is on your path leave this alone
   if NOT DEFINED PYTHON_EXE set PYTHON_EXE=python
   :: Run the tests
   if NOT DEFINED RUN_TESTS set RUN_TESTS=0
   :: Run lint
   if NOT DEFINED RUN_LINT set RUN_LINT=0
   :: Build the install target
   if NOT DEFINED RUN_INSTALL set RUN_INSTALL=0
   )
   ……
   ……

5. 手动下载libraries_v140_x64_py35_1.1.0.tar（scripts/download_prebuilt_dependencies.py中有具体地址）并保存到C:\Users\%USER_NAME%\.caffe\dependencies\download

6. cmd -> cd %CAFFE_ROOT% -> scripts\build_win.cmd
7. 看有没有编译错误，%CAFFE_ROOT%\build里文件是否正确生成

PyCaffe配置

1. python编译完后，要将caffe_root/python拷贝到python的site路径下。
2. pip install google
3. pip install protobuf
4. python >>> import caffe不报错，就算成功了。

jupyter

1. pip install jupyter
2. cd %caffe_root%\examples
3. jupyter notebook
4. 选择要看的*.ipynb示例