Until you install TensorFlow-GPU with pip in Windows environment

・ <2017/05/28 postscript> It seems that it is better to create a virtual environment with createconda of Anaconda. So this method seems to be wrong.

I myself couldn't download the GPU-compatible version of TensorFlow and struggled quite a bit, but it has been resolved so I'll write it here for those with similar concerns.

Environment ・ Windows 10 (64bit) · NVIDIA-GTX960M ・ Python3 ・ Anaconda3

We will proceed for PCs with NVIDIA graphics boards in a Windows environment.

Install CUDA and cuDNN This article is easy to understand about this, so please take a look here. [Notes on running TensorFlow using GPU on Windows](http://qiita.com/binzume/items/7a0170fe834e250ddef9)

Installing Python with Anaconda The main is from here.

First install Anaconda. (If you have already installed it, you can skip it.) Anaconda Please install Python3.6 Verision here. As for the installer, all you have to do is follow the instructions.

Python version change Here we downgrade Python3.6 to Python3.5.2, which is supported by TensorFlow.

Launch Anaconda Prompt and type ** conda install python = 3.5.2 ** to run it. that's all.

You should now be able to downgrade your Python version from 3.6 to 3.5.2.

If the location of Anaconda Prompt is the default (C: \ Users \ username \ AppData \ Roaming \ Microsoft \ Windows \ Start Menu \ Programs \ Anaconda3 (64-bit)) Should be in.

Install TensorFlow for GPU Just install with pip. 
pip install tensorflow-gpu

You should now have a GPU-enabled version of TensorFlow installed.

If you have any questions, please ask a question.

Articles and sites that lead to solutions - [stack overflow](http://stackoverflow.com/questions/40941015/tensorflow-on-windows-not-a-supported-wheel-on-this-platform-error) -[Note on running TensorFlow using GPU on Windows](http://qiita.com/binzume/items/7a0170fe834e250ddef9)

Thank you for watching so far.

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