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Installing Tensorflow with GPU support in Windows

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Published on Dec 30, 2017

This video will show you how to set up Tensorflow with GPU support in Windows. In addition to some simple validation tests, this video also shows you how to run the CIFAR-10 convolutional neural network example with full GPU acceleration and view the results in Tensorboard. All of the requirements for this video were as of December 2017 (please doublecheck the Tensorflow installation instructions to see if anything has changed).

Links:
Main Tensorflow Windows instructions: https://www.tensorflow.org/install/in...
Download links for Visual Studio 2015: https://my.visualstudio.com/Downloads...
Download links for CUDA Toolkit 8.0: https://developer.nvidia.com/cuda-80-...
Download links for cuDNN 6.0 for CUDA 8.0: https://developer.nvidia.com/rdp/cudn...
CIFAR-10 tutorial with links to code on github: https://www.tensorflow.org/tutorials/...

Tensorboard commands:
activate tensorflow
tensorboard --logdir=\tmp\cifar10_train

Browser: localhost:6006

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