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May 15, 2017 12:05
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Keras with TF GPU backend in Anaconda Windows
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| 1. create anaconda environment with python 3.5 | |
| - conda create -n kerascodai python=3.5 | |
| - activate kerascodai | |
| 2. install tensorflow with GPU support | |
| - pip install --ignore-installed --upgrade https://storage.googleapis.com/tensorflow/windows/gpu/tensorflow_gpu-1.1.0-cp35-cp35m-win_amd64.whl | |
| 3. install theano | |
| - download minGW | |
| https://sourceforge.net/projects/mingw-w64/files/Toolchains%20targetting%20Win64/Personal%20Builds/mingw-builds/5.4.0/threads-posix/seh/x86_64-5.4.0-release-posix-seh-rt_v5-rev0.7z/download | |
| extract and add mingw bin folder to your windows environment path | |
| go to your anaconda\libs path | |
| - D:\>cd Anaconda\libs | |
| do this command | |
| gendef ..\envs\kerascodai\python35.dll | |
| dlltool --as-flags=--64 -m i386:x86-64 -k --output-lib libpython35.a --input-def python35.def | |
| del python35.def | |
| - pip install theano==0.8.2 | |
| 4. install keras | |
| - pip install keras==1.1.2 | |
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