Setting up a TensorFlow environment under windows

These days, not a bit of artificial intelligence and neural network, are embarrassed to greet people. Before doing a bit of sklearn, today think should understand Google this legendary AI open source artifact.

Finally there is time, everything from Hello World, start with the environment.

1. Python Environment

Installing python:https://www.python.org/

Install a variety of libraries, depending on, because already loaded too much, I have forgotten what needs to be loaded. But sometimes the wheel will come in handy if it doesn't fit.

Various wheels: http://www.lfd.uci.edu/~gohlke/pythonlibs/

Wheel Mount Command:

Pip Install \PATH\TO\DOWNLOADED\FILE\*.WHL

2. Install Visual Studio

Yes, to install Visual Studio first, this to the official website to download, loaded on the line.

Official website: https://www.visualstudio.com/

3. Installation of Cuda and CUDNN

Cuda:https://developer.nvidia.com/cuda-downloads

This is the right installation.

Cudnn:https://developer.nvidia.com/rdp/cudnn-download

After this decompression, the bin path is added to the path inside to get it done.

Verify that the installation is successful:

Nvcc-v

4, Installation TensorFlow

PIP3 Install--upgrade TensorFlow

PIP3 Install--upgrade Tensorflow-gpu

Verify that the installation is successful, go straight to the Python command line interface, import TensorFlow, no error, that is, the installation is successful.

Import TensorFlow

5, finish the call.

6. Reference

Http://www.tensorfly.cn/tfdoc/get_started/os_setup.html

Https://www.tensorflow.org/install/install_windows

http://blog.csdn.net/u010099080/article/details/53418159

http://blog.csdn.net/include1224/article/details/53452824

Setting up a TensorFlow environment under windows