Using CPU vs GPU Version of TensorFlow

Head to the official TensorFlow installation instructions, and follow the Anaconda Installation instructions. The main difference between this, and what we did in Lesson 1, is that you need the GPU enabled version of TensorFlow for your system. However, before you install TensorFlow into this environment, you need to setup your computer to be GPU enabled with CUDA and CuDNN. The official TensorFlow documentation outline this step by step, but I recommended this tutorial if you are trying to setup a recent Ubuntu install. The main reason is that, at the time of writing (July 2016), CUDA has not yet been built for the most recent Ubuntu version, which means the process is a lot more manual.

 

ref: http://learningtensorflow.com/lesson10/

https://www.tensorflow.org/versions/r0.12/get_started/os_setup.html#gpu-related-issues

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