Shakerato

1. Install Anaconda3, GPU driver, CUDA, cudnn2. Run 'cmd' as administrator3. conda create -n [myenv] python=3.6 anaconda4. activate [myenv]5. conda install theano pygpu(if you got error, try this command: "conda install -c conda-forge pygpu") 6. conda install numpy scipy mkl-service libpython 7. Create a file "C:\Users\[Username]\.theanorc"[global]floatX = float32device = cuda0 8. Test code on G..

1. check cuda9.0 installed (nvcc --version) (if yet, install cuda) https://developer.nvidia.com/cuda-90-download-archive (if no gpu) pass this step 2, Install Anaconda https://www.anaconda.com/download/ 3. in 'cmd' conda create -n pytorch python=3.6 anaconda (follow https://anaconda.org/soumith/pytorch)4. in 'cmd' conda install pytorch cuda90 -c pytorch (if no gpu) conda install pytorch-cpu -c p..