Hafidz Zulkifli

Below are some of my rough notes on how I've setup my Windows 10 laptop to use Tensorflow with CUDA. My reference: http://www.heatonresearch.com/2017/01/01/tensorflow-windows-gpu.html https://www.tensorflow.org/install/ Install the following NVidia drivers: CUDA Drivers (http://docs.nvidia.com/cuda/cuda-installation-guide-microsoft-windows). Currently it's CUDA Toolkit 8.0. Can install using the installer downloaded. CUDNN - CUDA for Deep Neural Networks (https://developer.nvidia.com/cudnn). Currently it's 5.1. Once extracted, place the files in the respective directory along with the other CUDA files in the NVIDIA Toolkit folder Setting up Tensorflow (CPU) Setting up Tensorflow (GPU) Note: It's 22/2/2017 now and Google have recently released their Tensorflow 1.0, which might've rendered the above guide obsolote (i've haven't tested them yet). Update (23/2/2017): The above basically creates 2 new anaconda instance for you to pla...

I've been using IPython Notebook for awhile now for my development work in Windows environment. It's a great tool to use as it provides a confined environment for which I can write and test my code at the same time, not to mention the wealth of available libraries out there that one can use. However not all libraries can be successfully installed in Anaconda (Windows). Specifically speaking - the igraph library. For some time I've been using a flavor of WinPython that has igraph pre-installed (google  winpython-64bit-3.4.2.4flavorigraph.exe for more info), but I guess it became quite cumbersome to keep track of which library is installed in which environment. Hence to maintain my level of sanity, I'm going back to IPython Notebook - in Linux this time. Note that the steps below is really meant for me, but hopefully others can make some use of it as well. Setting up anaconda. Download it from Anaconda . Choose " Linux 64-bit - Python 2.7 ". Run ...