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Install TensorFlow on Windows

We will present the tutorial in Jupyter notebooks. To run them on your Windows machine, you will need a working TensorFlow installation (v1.0+).

Follow these instructions, which assume you have Windows 7 or 10. Other versions of Windows may not be compatible.

Be sure you are ready

To run TensorFlow on Windows, you will need to install Python 3.5 and git. You can find installation instructions on python.org. Note that you will need a 64-bit installation.

Clone this repository.

Open a shell (cmd.exe or whatever kind of shell you use).

git clone https://github.com/random-forests/tensorflow-workshop.git
cd tensorflow-workshop

Install TensorFlow and dependencies

If you install Python from python.org, you already have pip, so you can proceed directly to installing TensorFlow and dependencies.

# Run this command from inside the directory 
# where you cloned this workshop
pip install -r setup/requirements.txt

Running Jupyter

From the command prompt, run the following from the tensorflow-workshop directory:

jupyter notebook

Open the examples folder, and click on 00_test_install.ipynb. You should be able to run the notebook without issue.

Possible issues

TensorFlow requires MSVCP140.DLL, which may not be installed on your system. If, when you import tensorflow as tf, you see an error about No module named "_pywrap_tensorflow" and/or DLL load failed, check whether MSVCP140.DLL is in your %PATH% and, if not, you should install the Visual C++ 2015 redistributable (x64 version).

For GPU or alternate installation instructions, see tensorflow.org.