Installing TensorFlow on Windows

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This is going to be a tutorial on how to install tensorflow using official pre-built pip packages. It is currently used for both research and production by 50 different teams in dozens of commercial Google products, such as speech recognition, Gmail, Google Photos, and search, many of which had previously used its predecessor DistBelief.

Step1: Download whl file Goto and download whl pacakage related to your python version and os. Pre-built pip package are fully tested officially. There you can click the + to add a new package like tensorflow. However, since they are configured in such a way that they can support legacy hardware too, using pip package may not use full capability on your new and powerful hardware.

Installing TensorFlow

This is going to be a tutorial on how to install tensorflow using official pre-built pip packages. Pre-built pip package are fully tested officially. However, since they are configured in such a way that they can support legacy hardware too, using pip package may not use full capability on your new and powerful hardware. Building pip tensorflow install windows the solution to fully optimize tensorflow to use full capability of your hardware. However, building is a time-consuming process and generally recommended for advanced users only. For our purpose, we will look at installing the latest version tensorflow, tensorflow 1. Currently only 64-bit python is supported by Tensorflow. Tensorflow install windows have also performed speed comparison on the tensorflow 1. You can click on the link to check that out. There must be 64-bit python installed tensorflow does not work on 32-bit python installation. Also, this is the simplest method to install tensorflow. Step1: Download whl file Goto and download whl pacakage related to your python version and os. If your tensorflow version is 1. Advanced users who want to build pip package to get optimum performance can follow the link at the top of the article to build tensorflow gpu for ubuntu. Note down linux kernel version. Hi, First, thanks a lot for this tutorial, it helps a lot. However I still got an error when checking the installation Ubuntu 16. The minimum required Cuda capability is 3. Are there anything that I missed. I try to find similar program in Google. I follow the steps until 5.

If the version of TensorFlow you installed is not found automatically, then you can use the following techniques to ensure that TensorFlow is located. Note down linux kernel version. It should be a normal pip setup for Windows. I recommend you to use network installer. Thanks again for the docker install! Go to to download Anaconda Python 3. I have not tested with Visual Studio 2013 yet.